This document describes a proposed online platform called FoodInDaHud that aims to promote healthy eating habits. It consists of a mobile app that allows users to browse recipes, view detailed nutrition information, and customize recipes based on their dietary preferences. The app also enables users to order customized meals locally and have them delivered. The platform utilizes a recipe browser, nutrition profiler, nutrition query engine, and order/delivery system. It seeks to provide users with recipe-level control over their meals and educate them about making informed dietary choices. The platform could be expanded further with additional features like personalized meal plans, special diet options, and voice recipe creation.
Sehat Co. - A Smart Food Recommendation SystemIRJET Journal
This document describes a proposed food recommendation system called Sehat Co. that uses image processing and deep learning techniques to predict ingredients from uploaded food images. It then matches the predicted ingredients against a database of ingredients known to fight COVID-19 to display relevant recipes, stats on COVID-fighting ingredients, and a recommendation for a second recipe. The system aims to help users track their food intake and choose meals containing ingredients that may increase immunity against COVID-19. It was developed using the Recipe1M dataset containing over 1 million recipes and trained on a multi-task deep learning model to perform ingredient prediction and recipe generation and recommendation.
Food Cuisine Analysis using Image Processing and Machine LearningIRJET Journal
This document discusses a proposed system for analyzing food cuisine using image processing and machine learning. The system aims to identify the cuisine of a dish by taking either an image of the food or a list of ingredients as input. It would then output the predicted cuisine, along with relevant recipe and nutritional information. The proposed approach aims to overcome limitations of prior work, such as low accuracy and inability to handle both image and ingredient-based inputs. It will utilize a large, detailed dataset and trained machine learning models like KNN to make highly accurate cuisine predictions. The system is intended to benefit food delivery apps and other services by providing customized recommendations to users based on analyzed cuisine preferences.
This document presents a diet recommendation system called MyDietDiary. The system uses machine learning algorithms like k-means and random forest to analyze a user's nutritional intake and recommend a customized diet plan. It collects data on users' health, lifestyle, and food choices to track their body mass index and recommend appropriate meals. The system works by clustering food items based on their nutritional values, classifying foods into meals, and generating diet recommendations tailored to each user's goals and preferences. It allows users to select recommended food items and tracks their daily calorie and macronutrient intake on a dashboard for monitoring their progress. The system aims to help users improve their health and diet through individualized recommendations based on analyzing their profile and
DANES: Diet and Nutrition Expert System for Meal Management and Nutrition Cou...rahulmonikasharma
“Your body is your temple” As people across the globe are becoming more health conscious, eating more healthy food and avoiding junk food, a system that can measure calories and nutrition in every day meals can be very useful for maintaining one’s health. Food calorie and nutrition measurement system is very beneficial for dieticians and patients to measure and manage their daily food intake. We also know that it’s difficult to find an affordable nutritionist or a dietician across the street; therefore, we have proposed a system – DIET AND NUTRITION EXPERT SYSTEM. The proposed system is a responsive android application which contains the knowledge and data regarding the fitness of a person and nutrition content values. This application consists of the user interface which will be publicly displayed on the application i.e. the basic information regarding the fitness and nutrition values such as how to maintain good health by adapting healthy eating habits which includes the intake of calories, proteins and carbohydrates etc. in proper proportion. A dietician consults a person based on his schedule, body type, height and weight. The system too asks all this data from the user and processes it. It asks about how many hours the user works, his height, weight, age etc. The system stores and processes this data and then calculates the nutrient value needed to fill up users’ needs.
1. The document presents a food recommendation system that aims to suggest optimal meals based on a user's available ingredients and tastes.
2. It proposes using data mining techniques like machine learning to analyze patterns in user data and relationships between foods to enhance the system's recommendations.
3. The system is intended to help users decide what to cook or eat by providing personalized recommendations based on their inventory and preferences, taking into account cultural contexts like Indian festivals and recipes.
Food Classification and Recommendation for Health and Diet Tracking using Mac...IRJET Journal
This document discusses a study that uses machine learning to classify food images and recommend foods for health and diet tracking. The researchers collected 1000 food images from various sources to create a dataset with 12 food classes. A convolutional neural network (CNN) model was trained on the dataset and achieved an average accuracy of 86.33% for classifying images into the correct food category. The model can also provide dietary recommendations to help people, such as diabetics, track their health goals. The researchers conclude that combining food classification with recommendation using deep learning is useful for applications like automatic food labeling and dietary assessment.
WEB BASED NUTRITION AND DIET ASSISTANCE USING MACHINE LEARNINGIRJET Journal
The document describes a proposed web-based nutrition and diet assistance system using machine learning. The system aims to accurately identify foods from images using a convolutional neural network (CNN) model, calculate the nutritional content of the foods, determine the user's BMI, and provide personalized diet recommendations. The system uses techniques like pre-processing, region proposal networks, feature extraction, and CNNs to classify foods, retrieve nutritional data, and suggest diets tailored for the user's BMI and food choices. The goal is to help users conveniently track their nutrition intake and maintain a balanced diet for better health outcomes.
RECCOMENDATION OF FOOD BASED ON YOUR CURRENT MOODIRJET Journal
The document describes a proposed web application called MoodieFoodie that provides food recommendations tailored to a user's current mood. It aims to address limitations of existing food delivery apps by 1) providing personalized recommendations based on the user's emotional state using machine learning algorithms, 2) simplifying restaurant selection by considering cost, ratings, and distance, and 3) offering a diverse selection of food and beverage options while supporting small businesses. The proposed system is designed to enhance the user experience of food ordering and delivery by connecting emotions and food preferences.
Sehat Co. - A Smart Food Recommendation SystemIRJET Journal
This document describes a proposed food recommendation system called Sehat Co. that uses image processing and deep learning techniques to predict ingredients from uploaded food images. It then matches the predicted ingredients against a database of ingredients known to fight COVID-19 to display relevant recipes, stats on COVID-fighting ingredients, and a recommendation for a second recipe. The system aims to help users track their food intake and choose meals containing ingredients that may increase immunity against COVID-19. It was developed using the Recipe1M dataset containing over 1 million recipes and trained on a multi-task deep learning model to perform ingredient prediction and recipe generation and recommendation.
Food Cuisine Analysis using Image Processing and Machine LearningIRJET Journal
This document discusses a proposed system for analyzing food cuisine using image processing and machine learning. The system aims to identify the cuisine of a dish by taking either an image of the food or a list of ingredients as input. It would then output the predicted cuisine, along with relevant recipe and nutritional information. The proposed approach aims to overcome limitations of prior work, such as low accuracy and inability to handle both image and ingredient-based inputs. It will utilize a large, detailed dataset and trained machine learning models like KNN to make highly accurate cuisine predictions. The system is intended to benefit food delivery apps and other services by providing customized recommendations to users based on analyzed cuisine preferences.
This document presents a diet recommendation system called MyDietDiary. The system uses machine learning algorithms like k-means and random forest to analyze a user's nutritional intake and recommend a customized diet plan. It collects data on users' health, lifestyle, and food choices to track their body mass index and recommend appropriate meals. The system works by clustering food items based on their nutritional values, classifying foods into meals, and generating diet recommendations tailored to each user's goals and preferences. It allows users to select recommended food items and tracks their daily calorie and macronutrient intake on a dashboard for monitoring their progress. The system aims to help users improve their health and diet through individualized recommendations based on analyzing their profile and
DANES: Diet and Nutrition Expert System for Meal Management and Nutrition Cou...rahulmonikasharma
“Your body is your temple” As people across the globe are becoming more health conscious, eating more healthy food and avoiding junk food, a system that can measure calories and nutrition in every day meals can be very useful for maintaining one’s health. Food calorie and nutrition measurement system is very beneficial for dieticians and patients to measure and manage their daily food intake. We also know that it’s difficult to find an affordable nutritionist or a dietician across the street; therefore, we have proposed a system – DIET AND NUTRITION EXPERT SYSTEM. The proposed system is a responsive android application which contains the knowledge and data regarding the fitness of a person and nutrition content values. This application consists of the user interface which will be publicly displayed on the application i.e. the basic information regarding the fitness and nutrition values such as how to maintain good health by adapting healthy eating habits which includes the intake of calories, proteins and carbohydrates etc. in proper proportion. A dietician consults a person based on his schedule, body type, height and weight. The system too asks all this data from the user and processes it. It asks about how many hours the user works, his height, weight, age etc. The system stores and processes this data and then calculates the nutrient value needed to fill up users’ needs.
1. The document presents a food recommendation system that aims to suggest optimal meals based on a user's available ingredients and tastes.
2. It proposes using data mining techniques like machine learning to analyze patterns in user data and relationships between foods to enhance the system's recommendations.
3. The system is intended to help users decide what to cook or eat by providing personalized recommendations based on their inventory and preferences, taking into account cultural contexts like Indian festivals and recipes.
Food Classification and Recommendation for Health and Diet Tracking using Mac...IRJET Journal
This document discusses a study that uses machine learning to classify food images and recommend foods for health and diet tracking. The researchers collected 1000 food images from various sources to create a dataset with 12 food classes. A convolutional neural network (CNN) model was trained on the dataset and achieved an average accuracy of 86.33% for classifying images into the correct food category. The model can also provide dietary recommendations to help people, such as diabetics, track their health goals. The researchers conclude that combining food classification with recommendation using deep learning is useful for applications like automatic food labeling and dietary assessment.
WEB BASED NUTRITION AND DIET ASSISTANCE USING MACHINE LEARNINGIRJET Journal
The document describes a proposed web-based nutrition and diet assistance system using machine learning. The system aims to accurately identify foods from images using a convolutional neural network (CNN) model, calculate the nutritional content of the foods, determine the user's BMI, and provide personalized diet recommendations. The system uses techniques like pre-processing, region proposal networks, feature extraction, and CNNs to classify foods, retrieve nutritional data, and suggest diets tailored for the user's BMI and food choices. The goal is to help users conveniently track their nutrition intake and maintain a balanced diet for better health outcomes.
RECCOMENDATION OF FOOD BASED ON YOUR CURRENT MOODIRJET Journal
The document describes a proposed web application called MoodieFoodie that provides food recommendations tailored to a user's current mood. It aims to address limitations of existing food delivery apps by 1) providing personalized recommendations based on the user's emotional state using machine learning algorithms, 2) simplifying restaurant selection by considering cost, ratings, and distance, and 3) offering a diverse selection of food and beverage options while supporting small businesses. The proposed system is designed to enhance the user experience of food ordering and delivery by connecting emotions and food preferences.
Fitness Trainer Application Using Artificial IntelligenceIRJET Journal
This document describes a fitness trainer application that uses artificial intelligence. The application detects a user's exercise poses using MediaPipe, counts repetitions, provides alerts, and estimates calories burned. It also provides personalized dietary plans using formulas to calculate daily calorie needs and recommend meals. The application aims to help users exercise and maintain a healthy diet at home without expensive gym fees or dieticians. It detects poses in real-time video and analyzes joint positions to track exercise repetitions accurately. Recommended diets are generated based on the user's profile and preferences. The application could guide home workouts and help spread health awareness to more people.
IRJET - Personal Nutritionist using Fatsecret APIIRJET Journal
This document describes a personal nutritionist application that uses the FatSecret API to recommend foods to users based on their body type and calorie needs. It classifies users as normal, overweight, underweight, or obese using BMI, BMR, and body fat percentage. It then recommends foods within the user's calorie budget based on their macronutrient requirements. The application was developed with a website interface using Flask and MySQL and classifies users with a naive Bayes algorithm. It provides varied food recommendations and nutritional information by accessing FatSecret's food database through its API.
IRJET- Gabor Filters in Fingerprint ApplicationIRJET Journal
This document presents a review paper on an excess food redistribution system using the Internet of Things (IoT). The proposed system aims to efficiently reduce food waste by enabling real-time and dynamic matching between food vendors and consumers using an IoT-enabled framework. A key aspect of the framework is the use of smart food containers containing sensors to capture the real-time context of food donations from vendors. This would facilitate sharing of excess food with consumers. The proposed framework consists of four main components: a virtual marketplace, data management engine, recommendation engine, and a trust/reputation/fraud prevention engine. An initial prototype of a smart food container was developed to demonstrate the feasibility of the approach. Future work involves adding more sensors
IRJET - An Efficient System to Detect Freshness and Quality of FoodIRJET Journal
This document describes a proposed system to detect the freshness and quality of food using sensors. The system would use a hydrogen sensor, moisture sensor, and gas sensor attached to an Arduino board to measure parameters like pH, moisture content, and ethanol/gas levels in foods. The sensor data would be sent wirelessly to a server and compared to thresholds to determine if the food is fresh or spoiled. Results would be displayed on an LCD screen and stored in a database. A web application would allow administrators, students, and hostel organizations to view the results and submit complaints if the system provides inaccurate readings. The goal is to help ensure food safety and quality by detecting spoilage early before visual signs appear.
Paper Hector Galán - OASIS Nutritional Advisor Service: a technical viewWTHS
The document provides a technical overview of the OASIS Nutritional Advisor Service, which was developed to control and improve the nutritional habits of elderly users.
The service consists of a nutritional advisor client application on the user's tablet to display personalized nutritional plans and advice. A remote server provides nutritional services like user profiling and personalized weekly menus. A desktop application allows nutritionists to manage user information.
The service was integrated into the OASIS framework for interoperability and sharing services across domains. It aims to offer personalized nutrition counseling adapted to each user's changing needs and context through dynamic profiling and adaptation to environmental changes. The architecture places most logic on the server side while keeping client applications light.
Food Recommendation System using ChatbotIRJET Journal
The document describes a proposed food recommendation chatbot system that would provide dietary advice to users. The system would take in a user's personal details like name, height, weight and health conditions like diabetes. It would then access its database to determine an appropriate diet for the user's needs. The chatbot would be developed using the Rasa framework and natural language processing techniques. Its goal would be to help people improve their nutrition, especially those with conditions like diabetes, by recommending foods to eat based on their condition and providing dietary advice.
B-Fit: A Fitness and Health Recommendation SystemIRJET Journal
This document describes a fitness and health recommendation system called B-Fit. The system aims to provide users access to fitness videos and personalized diet and nutrition recommendations based on their preferences and health metrics like BMI, blood test results, and more. It uses classification algorithms and collaborative filtering to recommend healthy foods tailored to a user's needs. The system allows users to conveniently access fitness resources and maintain an active lifestyle from home. It provides recommendations for workouts, diet, and nutrition to help users live a healthier life.
IRJET- Virtual Dietitian: An Android based Application to Provide DietIRJET Journal
This document summarizes a research paper on an Android-based application called Virtual Dietitian that provides personalized diet plans. The application uses algorithms to generate diet plans tailored to each user's characteristics like height, weight and BMI entered during registration. It aims to help busy individuals maintain a balanced diet easily without visiting an actual dietitian. The application provides diet plans, workout details and health facts on its interface. It calculates daily calorie needs using formulas and recommends diet categories like weight gain/loss/maintenance based on the user's BMI. This virtual dietitian application seeks to make healthy eating more convenient.
This document describes a system called PNUTS (Persuasive NUTrition Management System) that aims to make nutrition label use and diet management more effective using smartphones and cloud computing. The system uses barcode scanning and image recognition techniques on a smartphone to extract nutrition information from product packages. This information is sent to a backend cluster for processing and storage. Relevant nutrition labels are then sent back to the smartphone where they are displayed with interactive features like zooming to address issues that impede comprehension. The system aims to automate nutrition data collection and provide context-sensitive support to help motivate and enable better diet management.
This document presents a proposed system called "Dine and Donate" which allows customers at a restaurant to order and pay for their food digitally using a mobile app. It also includes a donation feature where customers can choose to donate part of their payment to various charities. The system aims to streamline the ordering process for improved efficiency and customer experience. It discusses the various modules including digital menu, online ordering, administration dashboard, and food donation. The goal of the donation module is to reduce food waste and support social causes by facilitating the donation of leftover or unsold food.
IRJET- Amalgamation of Health and Nutrition with Technology to Innovate Salu...IRJET Journal
This document discusses the proposal of a "Salubrious Technology", which is a one-stop solution mobile application that aims to provide comprehensive health and nutrition guidance to users. It analyzes existing health technologies and identifies shortcomings. The proposed application would incorporate features like health profiling, BMI calculation, symptom checking, personalized nutrition and fitness plans, medication reminders, and access to healthcare professionals via artificial intelligence. It is envisioned that such an application could help users better monitor and improve their health. Future enhancements could include integration with wearable devices to collect more health data for more customized guidance and alerts.
IRJET- A Food Recognition System for Diabetic Patients based on an Optimized ...IRJET Journal
This document presents a food recognition system for diabetic patients based on an optimized bag-of-features model. The system extracts dense local features from food images using scale-invariant feature transform on HSV color space. It then builds a visual vocabulary of 10,000 visual words using k-means clustering and classifies the food descriptions with a linear support vector machine classifier. The optimized system achieved a classification accuracy of around 78% on a dataset of over 5,000 food images belonging to 11 classes, demonstrating the feasibility of using a bag-of-features approach for automated food recognition to help with carbohydrate counting for diabetic patients.
The documents discuss various approaches to reducing food waste, including mobile applications, food sharing systems, and tracking food donations. Several papers describe apps that connect restaurants, hotels, and individuals who have extra food with organizations and individuals in need. Other works discuss systems for managing and sharing information about available food. The overall goal is to help redistribute surplus food to reduce waste and help feed those in need.
“Waste Food Management and Donation App”IRJET Journal
This document describes a mobile app called "Waste Food Management and Donation App" that aims to reduce food waste and allow hotels to donate leftover food to needy people. The app allows donors to add food details, location, and images and volunteers from NGOs can view available donated food items. It uses technologies like Firebase for authentication, storage, and the real-time database. The goal is to help connect food donors with volunteers so leftover food can be donated rather than wasted, helping both environmental and social issues.
Unused Medicine Donation System Using MongodbIRJET Journal
This document discusses the development of an unused medicine donation system using MongoDB. The system aims to collect unused or expired medicines and donate them to poor individuals through non-profit organizations. It involves three users - an administrator who manages the system, non-profit organizations who can request medicines, and users who can donate medicines. The administrator approves donations and receives monthly reports. Non-profits can request medicines which are added to a list by the administrator. Users can register, log in, provide medicine details for donation, and view their donation history. The system aims to save lives by making better use of unused medicines and helping those who cannot afford healthcare access medications. It addresses issues with existing donation systems and open challenges include requiring internet access
IRJET- A System for Complete Healthcare Management: Ask-Us-Health A Secon...IRJET Journal
This document proposes a system called ASK-US-HEALTH that uses machine learning algorithms and data mining to provide healthcare management. It aims to help patients access a second medical opinion by entering symptoms and receiving the probable diagnosis. It would also provide doctor recommendations and store patient medical histories and prescriptions. The system intends to improve healthcare access and help manage patient care and data for research through connecting patients, doctors, and nearby pharmacies via a web application.
Survey paper on AI chatbot on intelligent nutritionistIRJET Journal
This document summarizes a research paper on developing an intelligent nutritionist chatbot using artificial intelligence. It discusses how chatbots can provide personalized diet and exercise recommendations as well as calculate BMI based on a user's input. The document also reviews related works on medical chatbots and recommender systems. It describes using context and knowledge integration to provide more accurate recommendations. The goal is to create a chatbot that can suggest effective diets tailored to an individual's health needs.
IRJET- Foodorials- A Cooking Recipe Android AppIRJET Journal
This document describes a proposed Android application called Foodorials that aims to help users cook meals easily from home. The key features of the app include providing recipes that can be accessed offline, a smart search filter for recipes, an integrated shopping list, and maps to locate nearby grocery stores. The app is designed to have a structured user interface and provide step-by-step recipes simply for beginners and experts alike. It was created using technologies like Ionic, Android SDK, Node.js, and Cordova to be accessible on Android devices. Future goals include adding sharing of recipes, quick access to favorites, and nutritional information. The purpose is to make cooking at home more convenient and accessible through a mobile application.
IRJET - Food Wastage Reduction through DonationIRJET Journal
This document describes a mobile application called "FOOD WASTAGE REDUCTION THROUGH DONATION APPLICATION" that aims to reduce food waste by connecting food donors with recipients. The application allows individuals and establishments like hotels to donate excess food, and allows organizations like orphanages to request food donations. Donors can post details of available food donations and recipients can accept them. This direct connection aims to reduce food waste compared to existing intermediary websites. The application was developed in Android Studio using Java and XML, and analyzed how it could better address food waste and insecurity compared to current systems.
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
Fitness Trainer Application Using Artificial IntelligenceIRJET Journal
This document describes a fitness trainer application that uses artificial intelligence. The application detects a user's exercise poses using MediaPipe, counts repetitions, provides alerts, and estimates calories burned. It also provides personalized dietary plans using formulas to calculate daily calorie needs and recommend meals. The application aims to help users exercise and maintain a healthy diet at home without expensive gym fees or dieticians. It detects poses in real-time video and analyzes joint positions to track exercise repetitions accurately. Recommended diets are generated based on the user's profile and preferences. The application could guide home workouts and help spread health awareness to more people.
IRJET - Personal Nutritionist using Fatsecret APIIRJET Journal
This document describes a personal nutritionist application that uses the FatSecret API to recommend foods to users based on their body type and calorie needs. It classifies users as normal, overweight, underweight, or obese using BMI, BMR, and body fat percentage. It then recommends foods within the user's calorie budget based on their macronutrient requirements. The application was developed with a website interface using Flask and MySQL and classifies users with a naive Bayes algorithm. It provides varied food recommendations and nutritional information by accessing FatSecret's food database through its API.
IRJET- Gabor Filters in Fingerprint ApplicationIRJET Journal
This document presents a review paper on an excess food redistribution system using the Internet of Things (IoT). The proposed system aims to efficiently reduce food waste by enabling real-time and dynamic matching between food vendors and consumers using an IoT-enabled framework. A key aspect of the framework is the use of smart food containers containing sensors to capture the real-time context of food donations from vendors. This would facilitate sharing of excess food with consumers. The proposed framework consists of four main components: a virtual marketplace, data management engine, recommendation engine, and a trust/reputation/fraud prevention engine. An initial prototype of a smart food container was developed to demonstrate the feasibility of the approach. Future work involves adding more sensors
IRJET - An Efficient System to Detect Freshness and Quality of FoodIRJET Journal
This document describes a proposed system to detect the freshness and quality of food using sensors. The system would use a hydrogen sensor, moisture sensor, and gas sensor attached to an Arduino board to measure parameters like pH, moisture content, and ethanol/gas levels in foods. The sensor data would be sent wirelessly to a server and compared to thresholds to determine if the food is fresh or spoiled. Results would be displayed on an LCD screen and stored in a database. A web application would allow administrators, students, and hostel organizations to view the results and submit complaints if the system provides inaccurate readings. The goal is to help ensure food safety and quality by detecting spoilage early before visual signs appear.
Paper Hector Galán - OASIS Nutritional Advisor Service: a technical viewWTHS
The document provides a technical overview of the OASIS Nutritional Advisor Service, which was developed to control and improve the nutritional habits of elderly users.
The service consists of a nutritional advisor client application on the user's tablet to display personalized nutritional plans and advice. A remote server provides nutritional services like user profiling and personalized weekly menus. A desktop application allows nutritionists to manage user information.
The service was integrated into the OASIS framework for interoperability and sharing services across domains. It aims to offer personalized nutrition counseling adapted to each user's changing needs and context through dynamic profiling and adaptation to environmental changes. The architecture places most logic on the server side while keeping client applications light.
Food Recommendation System using ChatbotIRJET Journal
The document describes a proposed food recommendation chatbot system that would provide dietary advice to users. The system would take in a user's personal details like name, height, weight and health conditions like diabetes. It would then access its database to determine an appropriate diet for the user's needs. The chatbot would be developed using the Rasa framework and natural language processing techniques. Its goal would be to help people improve their nutrition, especially those with conditions like diabetes, by recommending foods to eat based on their condition and providing dietary advice.
B-Fit: A Fitness and Health Recommendation SystemIRJET Journal
This document describes a fitness and health recommendation system called B-Fit. The system aims to provide users access to fitness videos and personalized diet and nutrition recommendations based on their preferences and health metrics like BMI, blood test results, and more. It uses classification algorithms and collaborative filtering to recommend healthy foods tailored to a user's needs. The system allows users to conveniently access fitness resources and maintain an active lifestyle from home. It provides recommendations for workouts, diet, and nutrition to help users live a healthier life.
IRJET- Virtual Dietitian: An Android based Application to Provide DietIRJET Journal
This document summarizes a research paper on an Android-based application called Virtual Dietitian that provides personalized diet plans. The application uses algorithms to generate diet plans tailored to each user's characteristics like height, weight and BMI entered during registration. It aims to help busy individuals maintain a balanced diet easily without visiting an actual dietitian. The application provides diet plans, workout details and health facts on its interface. It calculates daily calorie needs using formulas and recommends diet categories like weight gain/loss/maintenance based on the user's BMI. This virtual dietitian application seeks to make healthy eating more convenient.
This document describes a system called PNUTS (Persuasive NUTrition Management System) that aims to make nutrition label use and diet management more effective using smartphones and cloud computing. The system uses barcode scanning and image recognition techniques on a smartphone to extract nutrition information from product packages. This information is sent to a backend cluster for processing and storage. Relevant nutrition labels are then sent back to the smartphone where they are displayed with interactive features like zooming to address issues that impede comprehension. The system aims to automate nutrition data collection and provide context-sensitive support to help motivate and enable better diet management.
This document presents a proposed system called "Dine and Donate" which allows customers at a restaurant to order and pay for their food digitally using a mobile app. It also includes a donation feature where customers can choose to donate part of their payment to various charities. The system aims to streamline the ordering process for improved efficiency and customer experience. It discusses the various modules including digital menu, online ordering, administration dashboard, and food donation. The goal of the donation module is to reduce food waste and support social causes by facilitating the donation of leftover or unsold food.
IRJET- Amalgamation of Health and Nutrition with Technology to Innovate Salu...IRJET Journal
This document discusses the proposal of a "Salubrious Technology", which is a one-stop solution mobile application that aims to provide comprehensive health and nutrition guidance to users. It analyzes existing health technologies and identifies shortcomings. The proposed application would incorporate features like health profiling, BMI calculation, symptom checking, personalized nutrition and fitness plans, medication reminders, and access to healthcare professionals via artificial intelligence. It is envisioned that such an application could help users better monitor and improve their health. Future enhancements could include integration with wearable devices to collect more health data for more customized guidance and alerts.
IRJET- A Food Recognition System for Diabetic Patients based on an Optimized ...IRJET Journal
This document presents a food recognition system for diabetic patients based on an optimized bag-of-features model. The system extracts dense local features from food images using scale-invariant feature transform on HSV color space. It then builds a visual vocabulary of 10,000 visual words using k-means clustering and classifies the food descriptions with a linear support vector machine classifier. The optimized system achieved a classification accuracy of around 78% on a dataset of over 5,000 food images belonging to 11 classes, demonstrating the feasibility of using a bag-of-features approach for automated food recognition to help with carbohydrate counting for diabetic patients.
The documents discuss various approaches to reducing food waste, including mobile applications, food sharing systems, and tracking food donations. Several papers describe apps that connect restaurants, hotels, and individuals who have extra food with organizations and individuals in need. Other works discuss systems for managing and sharing information about available food. The overall goal is to help redistribute surplus food to reduce waste and help feed those in need.
“Waste Food Management and Donation App”IRJET Journal
This document describes a mobile app called "Waste Food Management and Donation App" that aims to reduce food waste and allow hotels to donate leftover food to needy people. The app allows donors to add food details, location, and images and volunteers from NGOs can view available donated food items. It uses technologies like Firebase for authentication, storage, and the real-time database. The goal is to help connect food donors with volunteers so leftover food can be donated rather than wasted, helping both environmental and social issues.
Unused Medicine Donation System Using MongodbIRJET Journal
This document discusses the development of an unused medicine donation system using MongoDB. The system aims to collect unused or expired medicines and donate them to poor individuals through non-profit organizations. It involves three users - an administrator who manages the system, non-profit organizations who can request medicines, and users who can donate medicines. The administrator approves donations and receives monthly reports. Non-profits can request medicines which are added to a list by the administrator. Users can register, log in, provide medicine details for donation, and view their donation history. The system aims to save lives by making better use of unused medicines and helping those who cannot afford healthcare access medications. It addresses issues with existing donation systems and open challenges include requiring internet access
IRJET- A System for Complete Healthcare Management: Ask-Us-Health A Secon...IRJET Journal
This document proposes a system called ASK-US-HEALTH that uses machine learning algorithms and data mining to provide healthcare management. It aims to help patients access a second medical opinion by entering symptoms and receiving the probable diagnosis. It would also provide doctor recommendations and store patient medical histories and prescriptions. The system intends to improve healthcare access and help manage patient care and data for research through connecting patients, doctors, and nearby pharmacies via a web application.
Survey paper on AI chatbot on intelligent nutritionistIRJET Journal
This document summarizes a research paper on developing an intelligent nutritionist chatbot using artificial intelligence. It discusses how chatbots can provide personalized diet and exercise recommendations as well as calculate BMI based on a user's input. The document also reviews related works on medical chatbots and recommender systems. It describes using context and knowledge integration to provide more accurate recommendations. The goal is to create a chatbot that can suggest effective diets tailored to an individual's health needs.
IRJET- Foodorials- A Cooking Recipe Android AppIRJET Journal
This document describes a proposed Android application called Foodorials that aims to help users cook meals easily from home. The key features of the app include providing recipes that can be accessed offline, a smart search filter for recipes, an integrated shopping list, and maps to locate nearby grocery stores. The app is designed to have a structured user interface and provide step-by-step recipes simply for beginners and experts alike. It was created using technologies like Ionic, Android SDK, Node.js, and Cordova to be accessible on Android devices. Future goals include adding sharing of recipes, quick access to favorites, and nutritional information. The purpose is to make cooking at home more convenient and accessible through a mobile application.
IRJET - Food Wastage Reduction through DonationIRJET Journal
This document describes a mobile application called "FOOD WASTAGE REDUCTION THROUGH DONATION APPLICATION" that aims to reduce food waste by connecting food donors with recipients. The application allows individuals and establishments like hotels to donate excess food, and allows organizations like orphanages to request food donations. Donors can post details of available food donations and recipients can accept them. This direct connection aims to reduce food waste compared to existing intermediary websites. The application was developed in Android Studio using Java and XML, and analyzed how it could better address food waste and insecurity compared to current systems.
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...IRJET Journal
This study compares the use of Stark Steel and TMT Steel as reinforcement materials in a two-way reinforced concrete slab. Mechanical testing is conducted to determine the tensile strength, yield strength, and other properties of each material. A two-way slab design adhering to codes and standards is executed with both materials. The performance is analyzed in terms of deflection, stability under loads, and displacement. Cost analyses accounting for material, durability, maintenance, and life cycle costs are also conducted. The findings provide insights into the economic and structural implications of each material for reinforcement selection and recommendations on the most suitable material based on the analysis.
Effect of Camber and Angles of Attack on Airfoil CharacteristicsIRJET Journal
This document discusses a study analyzing the effect of camber, position of camber, and angle of attack on the aerodynamic characteristics of airfoils. Sixteen modified asymmetric NACA airfoils were analyzed using computational fluid dynamics (CFD) by varying the camber, camber position, and angle of attack. The results showed the relationship between these parameters and the lift coefficient, drag coefficient, and lift to drag ratio. This provides insight into how changes in airfoil geometry impact aerodynamic performance.
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...IRJET Journal
This document reviews the progress and challenges of aluminum-based metal matrix composites (MMCs), focusing on their fabrication processes and applications. It discusses how various aluminum MMCs have been developed using reinforcements like borides, carbides, oxides, and nitrides to improve mechanical and wear properties. These composites have gained prominence for their lightweight, high-strength and corrosion resistance properties. The document also examines recent advancements in fabrication techniques for aluminum MMCs and their growing applications in industries such as aerospace and automotive. However, it notes that challenges remain around issues like improper mixing of reinforcements and reducing reinforcement agglomeration.
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...IRJET Journal
This document discusses research on using graph neural networks (GNNs) for dynamic optimization of public transportation networks in real-time. GNNs represent transit networks as graphs with nodes as stops and edges as connections. The GNN model aims to optimize networks using real-time data on vehicle locations, arrival times, and passenger loads. This helps increase mobility, decrease traffic, and improve efficiency. The system continuously trains and infers to adapt to changing transit conditions, providing decision support tools. While research has focused on performance, more work is needed on security, socio-economic impacts, contextual generalization of models, continuous learning approaches, and effective real-time visualization.
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...IRJET Journal
This document summarizes a research project that aims to compare the structural performance of conventional slab and grid slab systems in multi-story buildings using ETABS software. The study will analyze both symmetric and asymmetric building models under various loading conditions. Parameters like deflections, moments, shears, and stresses will be examined to evaluate the structural effectiveness of each slab type. The results will provide insights into the comparative behavior of conventional and grid slabs to help engineers and architects select appropriate slab systems based on building layouts and design requirements.
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...IRJET Journal
This document summarizes and reviews a research paper on the seismic response of reinforced concrete (RC) structures with plan and vertical irregularities, with and without infill walls. It discusses how infill walls can improve or reduce the seismic performance of RC buildings, depending on factors like wall layout, height distribution, connection to the frame, and relative stiffness of walls and frames. The reviewed research paper analyzes the behavior of infill walls, effects of vertical irregularities, and seismic performance of high-rise structures under linear static and dynamic analysis. It studies response characteristics like story drift, deflection and shear. The document also provides literature on similar research investigating the effects of infill walls, soft stories, plan irregularities, and different
This document provides a review of machine learning techniques used in Advanced Driver Assistance Systems (ADAS). It begins with an abstract that summarizes key applications of machine learning in ADAS, including object detection, recognition, and decision-making. The introduction discusses the integration of machine learning in ADAS and how it is transforming vehicle safety. The literature review then examines several research papers on topics like lightweight deep learning models for object detection and lane detection models using image processing. It concludes by discussing challenges and opportunities in the field, such as improving algorithm robustness and adaptability.
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...IRJET Journal
The document analyzes temperature and precipitation trends in Asosa District, Benishangul Gumuz Region, Ethiopia from 1993 to 2022 based on data from the local meteorological station. The results show:
1) The average maximum and minimum annual temperatures have generally decreased over time, with maximum temperatures decreasing by a factor of -0.0341 and minimum by -0.0152.
2) Mann-Kendall tests found the decreasing temperature trends to be statistically significant for annual maximum temperatures but not for annual minimum temperatures.
3) Annual precipitation in Asosa District showed a statistically significant increasing trend.
The conclusions recommend development planners account for rising summer precipitation and declining temperatures in
P.E.B. Framed Structure Design and Analysis Using STAAD ProIRJET Journal
This document discusses the design and analysis of pre-engineered building (PEB) framed structures using STAAD Pro software. It provides an overview of PEBs, including that they are designed off-site with building trusses and beams produced in a factory. STAAD Pro is identified as a key tool for modeling, analyzing, and designing PEBs to ensure their performance and safety under various load scenarios. The document outlines modeling structural parts in STAAD Pro, evaluating structural reactions, assigning loads, and following international design codes and standards. In summary, STAAD Pro is used to design and analyze PEB framed structures to ensure safety and code compliance.
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...IRJET Journal
This document provides a review of research on innovative fiber integration methods for reinforcing concrete structures. It discusses studies that have explored using carbon fiber reinforced polymer (CFRP) composites with recycled plastic aggregates to develop more sustainable strengthening techniques. It also examines using ultra-high performance fiber reinforced concrete to improve shear strength in beams. Additional topics covered include the dynamic responses of FRP-strengthened beams under static and impact loads, and the performance of preloaded CFRP-strengthened fiber reinforced concrete beams. The review highlights the potential of fiber composites to enable more sustainable and resilient construction practices.
Survey Paper on Cloud-Based Secured Healthcare SystemIRJET Journal
This document summarizes a survey on securing patient healthcare data in cloud-based systems. It discusses using technologies like facial recognition, smart cards, and cloud computing combined with strong encryption to securely store patient data. The survey found that healthcare professionals believe digitizing patient records and storing them in a centralized cloud system would improve access during emergencies and enable more efficient care compared to paper-based systems. However, ensuring privacy and security of patient data is paramount as healthcare incorporates these digital technologies.
Review on studies and research on widening of existing concrete bridgesIRJET Journal
This document summarizes several studies that have been conducted on widening existing concrete bridges. It describes a study from China that examined load distribution factors for a bridge widened with composite steel-concrete girders. It also outlines challenges and solutions for widening a bridge in the UAE, including replacing bearings and stitching the new and existing structures. Additionally, it discusses two bridge widening projects in New Zealand that involved adding precast beams and stitching to connect structures. Finally, safety measures and challenges for strengthening a historic bridge in Switzerland under live traffic are presented.
React based fullstack edtech web applicationIRJET Journal
The document describes the architecture of an educational technology web application built using the MERN stack. It discusses the frontend developed with ReactJS, backend with NodeJS and ExpressJS, and MongoDB database. The frontend provides dynamic user interfaces, while the backend offers APIs for authentication, course management, and other functions. MongoDB enables flexible data storage. The architecture aims to provide a scalable, responsive platform for online learning.
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
This paper proposes integrating Internet of Things (IoT) and blockchain technologies to help implement objectives of India's National Education Policy (NEP) in the education sector. The paper discusses how blockchain could be used for secure student data management, credential verification, and decentralized learning platforms. IoT devices could create smart classrooms, automate attendance tracking, and enable real-time monitoring. Blockchain would ensure integrity of exam processes and resource allocation, while smart contracts automate agreements. The paper argues this integration has potential to revolutionize education by making it more secure, transparent and efficient, in alignment with NEP goals. However, challenges like infrastructure needs, data privacy, and collaborative efforts are also discussed.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
This document provides a review of research on the performance of coconut fibre reinforced concrete. It summarizes several studies that tested different volume fractions and lengths of coconut fibres in concrete mixtures with varying compressive strengths. The studies found that coconut fibre improved properties like tensile strength, toughness, crack resistance, and spalling resistance compared to plain concrete. Volume fractions of 2-5% and fibre lengths of 20-50mm produced the best results. The document concludes that using a 4-5% volume fraction of coconut fibres 30-40mm in length with M30-M60 grade concrete would provide benefits based on previous research.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
The document discusses optimizing business management processes through automation using Microsoft Power Automate and artificial intelligence. It provides an overview of Power Automate's key components and features for automating workflows across various apps and services. The document then presents several scenarios applying automation solutions to common business processes like data entry, monitoring, HR, finance, customer support, and more. It estimates the potential time and cost savings from implementing automation for each scenario. Finally, the conclusion emphasizes the transformative impact of AI and automation tools on business processes and the need for ongoing optimization.
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
The document describes the seismic design of a G+5 steel building frame located in Roorkee, India according to Indian codes IS 1893-2002 and IS 800. The frame was analyzed using the equivalent static load method and response spectrum method, and its response in terms of displacements and shear forces were compared. Based on the analysis, the frame was designed as a seismic-resistant steel structure according to IS 800:2007. The software STAAD Pro was used for the analysis and design.
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
This research paper explores using plastic waste as a sustainable and cost-effective construction material. The study focuses on manufacturing pavers and bricks using recycled plastic and partially replacing concrete with plastic alternatives. Initial results found that pavers and bricks made from recycled plastic demonstrate comparable strength and durability to traditional materials while providing environmental and cost benefits. Additionally, preliminary research indicates incorporating plastic waste as a partial concrete replacement significantly reduces construction costs without compromising structural integrity. The outcomes suggest adopting plastic waste in construction can address plastic pollution while optimizing costs, promoting more sustainable building practices.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.