SOCIAL MEDIA ANALYSIS ON SUPPLY CHAIN MANAGEMENT IN FOOD INDUSTRYKaustubh Nale
This paper proposes the importance of
social media analysis in supply chain management in the
food industry. In this analysis, the social media platform
(Twitter) is used to obtain information. In this approach,
two different software (Nodexl and Nvivo) are used to
conduct data mining and text analysis. The outcome of this
analysis will help researchers to make decisions based on
customer feedback.
Project delivery is a robust application called the ADAPTATION and PERSONALIZED FITNESS APP. which will provide three main modules for users to use. First, users can do exercise wherever they like by using the Exercise section where it contains different types of exercises and exercises that can help them and help them live a healthier life.However, a healthy lifestyle cannot be done entirely with exercise because the role of diet is also very important. Users will be able to keep track of what they have eaten and eat the right foods by looking at the statistics related to their bodies in the diet category. Finally, users can do yoga at home.Basically, all of the above activities are intended to help users stay away from serious illnesses so that they can enjoy a healthier life with their loved ones. For a clearer picture of fitness apps, there is a fitness app updated for this project which is Runtastic Running and Fitness. Therefore, the life cycle model of repetition and multiplication is adopted in this project in order to determine the feasibility. Few needs cycles, design and implementation phases will pass while other features will be added to the application up to the project. Mayank Sharma Dixit | Mohammad Shad | Arman Tyagi | Abdul Qadir | Mr. Dev Baloni "Adaptive & Personalized Fitness App" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | International Conference on Advances in Engineering, Science and Technology - 2021 , May 2021, URL: https://www.ijtsrd.com/papers/ijtsrd42460.pdf Paper URL : https://www.ijtsrd.com/engineering/computer-engineering/42460/adaptive-and-personalized-fitness-app/mayank-sharma-dixit
SOCIAL MEDIA ANALYSIS ON SUPPLY CHAIN MANAGEMENT IN FOOD INDUSTRYKaustubh Nale
This paper proposes the importance of
social media analysis in supply chain management in the
food industry. In this analysis, the social media platform
(Twitter) is used to obtain information. In this approach,
two different software (Nodexl and Nvivo) are used to
conduct data mining and text analysis. The outcome of this
analysis will help researchers to make decisions based on
customer feedback.
Project delivery is a robust application called the ADAPTATION and PERSONALIZED FITNESS APP. which will provide three main modules for users to use. First, users can do exercise wherever they like by using the Exercise section where it contains different types of exercises and exercises that can help them and help them live a healthier life.However, a healthy lifestyle cannot be done entirely with exercise because the role of diet is also very important. Users will be able to keep track of what they have eaten and eat the right foods by looking at the statistics related to their bodies in the diet category. Finally, users can do yoga at home.Basically, all of the above activities are intended to help users stay away from serious illnesses so that they can enjoy a healthier life with their loved ones. For a clearer picture of fitness apps, there is a fitness app updated for this project which is Runtastic Running and Fitness. Therefore, the life cycle model of repetition and multiplication is adopted in this project in order to determine the feasibility. Few needs cycles, design and implementation phases will pass while other features will be added to the application up to the project. Mayank Sharma Dixit | Mohammad Shad | Arman Tyagi | Abdul Qadir | Mr. Dev Baloni "Adaptive & Personalized Fitness App" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | International Conference on Advances in Engineering, Science and Technology - 2021 , May 2021, URL: https://www.ijtsrd.com/papers/ijtsrd42460.pdf Paper URL : https://www.ijtsrd.com/engineering/computer-engineering/42460/adaptive-and-personalized-fitness-app/mayank-sharma-dixit
Physical activity prediction using fitness data: Challenges and issuesjournalBEEI
In the new healthcare transformations, individuals are encourage to maintain healthy life based on their food diet and physical activity routine to avoid risk of serious disease. One of the recent healthcare technologies to support self health monitoring is wearable device that allow individual play active role on their own healthcare. However, there is still questions in terms of the accuracy of wearable data for recommending physical activity due to enormous fitness data generated by wearable devices. In this study, we conducted a literature review on machine learning techniques to predict suitable physical activities based on personal context and fitness data. We categorize and structure the research evidence that has been publish in the area of machine learning techniques for predicting physical activities using fitness data. We found 10 different models in behavior change technique (BCT) and we selected two suitable models which are fogg behavior model (FBM) and trans-theoretical behavior model (TTM) for predicting physical activity using fitness data. We proposed a conceptual framework which consists of personal fitness data, combination of TTM and FBM to predict the suitable physical activity based on personal context. This study will provide new insights in software development of healthcare technologies to support personalization of individuals in managing their own health.
Bioinformatics Course at Indian Biosciences and Research Instituteajay vishwakrma
Bioinformatics is the study of the inherent structure of biological information and biological systems. It brings together the avalanche of systematic biological data (e.g. genomes) with the analytic theory and practical tools of mathematics and computer science. Bioinformatics is a rapidly evolving and developing field both in terms of breadth of scope of useful applications and in terms of depth of what can be accomplished with the mission providing the training and knowledge in Bioinformatics IBRI has introduced the courses in Bioinformatics.
This paper delves into the dynamic landscape of media consumption in India, focusing on the transformative influence of Over-the-Top (OTT) platforms. With a keen interest in the evolving media industry, Anjali Singh, a research scholar at DIT University, explores how OTT platforms have revolutionized entertainment consumption habits in the Indian market. By bypassing traditional cable and satellite TV, OTT services offer a diverse array of on-demand content, from movies to web series, streamed directly to viewers' devices. The paper discusses the exponential growth of the Indian OTT market, emphasizing the demand for regional content and language preferences. Through a mixed-method approach involving quantitative surveys and qualitative interviews, the study aims to provide insights into user demographics, content preferences, and the impact of OTT platforms on traditional media consumption patterns. By analyzing user behavior and preferences, this research sheds light on the significant role OTT platforms play in shaping the media landscape in India
Chapter 31 Future Directions and Future Research in Health Informa.docxchristinemaritza
Chapter 31 Future Directions and Future Research in Health Informatics
Nancy Staggers
Ramona Nelson
David E. Jones
Health informatics can be described as an interprofessional discipline that is grounded in the present while planning for the future.
Objectives
At the completion of this chapter the reader will be prepared to:
1.Explore major trends and their implications for future developments in healthcare, health informatics, and informatics research
2.Analyze techniques and challenges of planning for future directions and trends
3.Apply futurology methodologies in identifying trends and possible, probable, and preferred futures
4.Describe the field of nanotechnology and its subdisciplines, the role of informatics in nanotechnology, and implications for healthcare
5.Analyze the advantages and disadvantages of nanotechnology in health and health informatics
Key Terms
Backcasting, 499
Cytotoxicity, 505
Data visualization, 502
Extrapolation, 497
Futures research, 495
Nanofabrication, 503
Nanoinformatics, 505
Nanomedicine, 504
Nanotechnology, 502
Trend analysis, 497
Abstract
This chapter expands on the future directions sections included in the individual chapters to provide broad guidance about the future of informatics. First, healthcare trends in society are outlined. Second, futures studies or futurology (methods to analyze probable future directions in any field) is discussed. Third, an overview of potential future directions in informatics are discussed, including the following informatics trends: (1) patient engagement, consumerism, and informatics; (2) electronic health records (EHRs) 2.0; (3) usability and improving the user health information technology (health IT) experience; (4) big data and data visualization; and (5) nanotechnology and nanoinformatics. The last trend is discussed in more detail as an example of the major influence each of these trends will likely have on the future of healthcare and society as a whole. The organization and depth of the nanotechnology-related content also provides a guide for readers to develop similar material in informatics areas of specific interest.
Introduction
Informatics will play a large role in the future of healthcare. Which informatics trends will prevail and in what depth is unclear. In each of the chapters in this book authors outlined expanding areas of influence, from knowledge discovery to the epatient, from cloud computing to standards integration with public health data sharing, and from initial EHR installations to mobile health. In this chapter unequivocal healthcare trends are listed, followed by methods that readers may use to predict likely trends in the future. These techniques are called futurology or futures research methods. Subsequently, five major trends are discussed: (1) patient engagement, consumerism, and informatics; (2) EHRs 2.0; (3) usability and improving the user experience for health IT; (4) big data and data visualization; and (5) na ...
An approach based on deep learning that recommends fertilizers and pesticide...IJECEIAES
With the advancement of the internet, individuals are becoming more reliant on online applications to meet most of their needs. In the meantime, they have very little spare time to devote to the selection and decision-making process. As a result, the need for recommender systems to help tackle this problem is expanding. Recommender systems successfully provide consumers with individualized recommendations on a variety of goods, simplifying their duties. The goal of this research is to create a recommender system for farmers based on tree data structures. Recommender system has become interesting research by simplifying and saving time in the decision-making process of users. We conducted although a lot of research in various fields, there are insufficient in the agriculture sector. This issue is more necessary for farmers in Quangnam-Danang or all Vietnam countries by severe climate features. Storm from that, this research designs a system based on tree data structures. The proposed model combines the you only look once (YOLO) algorithm in a convolutional neural network (CNN) model with a similarity tree in computing similarity. By experiments on 400 samples and evaluating precision, accuracy, and the value of the predictive test as determined by its positive predictive value (PPV), the research proves that the proposed model is feasible and gain better results compared with other state-of-the-art models.
A Review of Big Data Analytics in Sector of Higher EducationIJERA Editor
This paper is about the use of big data analytics in higher education. In this paper, we see what the big data is and where does it come from. We will also try to find why the big data analytics has become a buzzword in almost every sector today through our literature review on the big data analytics and its applications in higher education sector. Then we see what the big educational data is, how it is generated and analyzed. We found that the two most important types of analytics are- Learning and academic analytics which will be discussed. Several papers describe the benefits of implementation of analytics in the education sector and the opportunities provided which will be discussed in this paper. We also found that the basic characteristics such as size, speed, variety and some other factors are responsible for some issues and challenges to the use of analytics in this sector. We will discuss those issues and challenges and discuss some proposed solutions to address them.
India Telemedicine Market Analysis Sample ReportInsights10
The Indian telemedicine market is expected to witness growth from $1.1 Bn in 2022 to $5.1 Bn in 2030 with a CAGR of 21.2% for the forecasted year 2022-2030. Telemedicine services in India include tele-hospitals, mHealth, and tele-homes. Apollo Telehealth Services and Practo Technologies are some of the key players in the market. To get a detailed report, contact us at - info@insights10.com
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
Physical activity prediction using fitness data: Challenges and issuesjournalBEEI
In the new healthcare transformations, individuals are encourage to maintain healthy life based on their food diet and physical activity routine to avoid risk of serious disease. One of the recent healthcare technologies to support self health monitoring is wearable device that allow individual play active role on their own healthcare. However, there is still questions in terms of the accuracy of wearable data for recommending physical activity due to enormous fitness data generated by wearable devices. In this study, we conducted a literature review on machine learning techniques to predict suitable physical activities based on personal context and fitness data. We categorize and structure the research evidence that has been publish in the area of machine learning techniques for predicting physical activities using fitness data. We found 10 different models in behavior change technique (BCT) and we selected two suitable models which are fogg behavior model (FBM) and trans-theoretical behavior model (TTM) for predicting physical activity using fitness data. We proposed a conceptual framework which consists of personal fitness data, combination of TTM and FBM to predict the suitable physical activity based on personal context. This study will provide new insights in software development of healthcare technologies to support personalization of individuals in managing their own health.
Bioinformatics Course at Indian Biosciences and Research Instituteajay vishwakrma
Bioinformatics is the study of the inherent structure of biological information and biological systems. It brings together the avalanche of systematic biological data (e.g. genomes) with the analytic theory and practical tools of mathematics and computer science. Bioinformatics is a rapidly evolving and developing field both in terms of breadth of scope of useful applications and in terms of depth of what can be accomplished with the mission providing the training and knowledge in Bioinformatics IBRI has introduced the courses in Bioinformatics.
This paper delves into the dynamic landscape of media consumption in India, focusing on the transformative influence of Over-the-Top (OTT) platforms. With a keen interest in the evolving media industry, Anjali Singh, a research scholar at DIT University, explores how OTT platforms have revolutionized entertainment consumption habits in the Indian market. By bypassing traditional cable and satellite TV, OTT services offer a diverse array of on-demand content, from movies to web series, streamed directly to viewers' devices. The paper discusses the exponential growth of the Indian OTT market, emphasizing the demand for regional content and language preferences. Through a mixed-method approach involving quantitative surveys and qualitative interviews, the study aims to provide insights into user demographics, content preferences, and the impact of OTT platforms on traditional media consumption patterns. By analyzing user behavior and preferences, this research sheds light on the significant role OTT platforms play in shaping the media landscape in India
Chapter 31 Future Directions and Future Research in Health Informa.docxchristinemaritza
Chapter 31 Future Directions and Future Research in Health Informatics
Nancy Staggers
Ramona Nelson
David E. Jones
Health informatics can be described as an interprofessional discipline that is grounded in the present while planning for the future.
Objectives
At the completion of this chapter the reader will be prepared to:
1.Explore major trends and their implications for future developments in healthcare, health informatics, and informatics research
2.Analyze techniques and challenges of planning for future directions and trends
3.Apply futurology methodologies in identifying trends and possible, probable, and preferred futures
4.Describe the field of nanotechnology and its subdisciplines, the role of informatics in nanotechnology, and implications for healthcare
5.Analyze the advantages and disadvantages of nanotechnology in health and health informatics
Key Terms
Backcasting, 499
Cytotoxicity, 505
Data visualization, 502
Extrapolation, 497
Futures research, 495
Nanofabrication, 503
Nanoinformatics, 505
Nanomedicine, 504
Nanotechnology, 502
Trend analysis, 497
Abstract
This chapter expands on the future directions sections included in the individual chapters to provide broad guidance about the future of informatics. First, healthcare trends in society are outlined. Second, futures studies or futurology (methods to analyze probable future directions in any field) is discussed. Third, an overview of potential future directions in informatics are discussed, including the following informatics trends: (1) patient engagement, consumerism, and informatics; (2) electronic health records (EHRs) 2.0; (3) usability and improving the user health information technology (health IT) experience; (4) big data and data visualization; and (5) nanotechnology and nanoinformatics. The last trend is discussed in more detail as an example of the major influence each of these trends will likely have on the future of healthcare and society as a whole. The organization and depth of the nanotechnology-related content also provides a guide for readers to develop similar material in informatics areas of specific interest.
Introduction
Informatics will play a large role in the future of healthcare. Which informatics trends will prevail and in what depth is unclear. In each of the chapters in this book authors outlined expanding areas of influence, from knowledge discovery to the epatient, from cloud computing to standards integration with public health data sharing, and from initial EHR installations to mobile health. In this chapter unequivocal healthcare trends are listed, followed by methods that readers may use to predict likely trends in the future. These techniques are called futurology or futures research methods. Subsequently, five major trends are discussed: (1) patient engagement, consumerism, and informatics; (2) EHRs 2.0; (3) usability and improving the user experience for health IT; (4) big data and data visualization; and (5) na ...
An approach based on deep learning that recommends fertilizers and pesticide...IJECEIAES
With the advancement of the internet, individuals are becoming more reliant on online applications to meet most of their needs. In the meantime, they have very little spare time to devote to the selection and decision-making process. As a result, the need for recommender systems to help tackle this problem is expanding. Recommender systems successfully provide consumers with individualized recommendations on a variety of goods, simplifying their duties. The goal of this research is to create a recommender system for farmers based on tree data structures. Recommender system has become interesting research by simplifying and saving time in the decision-making process of users. We conducted although a lot of research in various fields, there are insufficient in the agriculture sector. This issue is more necessary for farmers in Quangnam-Danang or all Vietnam countries by severe climate features. Storm from that, this research designs a system based on tree data structures. The proposed model combines the you only look once (YOLO) algorithm in a convolutional neural network (CNN) model with a similarity tree in computing similarity. By experiments on 400 samples and evaluating precision, accuracy, and the value of the predictive test as determined by its positive predictive value (PPV), the research proves that the proposed model is feasible and gain better results compared with other state-of-the-art models.
A Review of Big Data Analytics in Sector of Higher EducationIJERA Editor
This paper is about the use of big data analytics in higher education. In this paper, we see what the big data is and where does it come from. We will also try to find why the big data analytics has become a buzzword in almost every sector today through our literature review on the big data analytics and its applications in higher education sector. Then we see what the big educational data is, how it is generated and analyzed. We found that the two most important types of analytics are- Learning and academic analytics which will be discussed. Several papers describe the benefits of implementation of analytics in the education sector and the opportunities provided which will be discussed in this paper. We also found that the basic characteristics such as size, speed, variety and some other factors are responsible for some issues and challenges to the use of analytics in this sector. We will discuss those issues and challenges and discuss some proposed solutions to address them.
India Telemedicine Market Analysis Sample ReportInsights10
The Indian telemedicine market is expected to witness growth from $1.1 Bn in 2022 to $5.1 Bn in 2030 with a CAGR of 21.2% for the forecasted year 2022-2030. Telemedicine services in India include tele-hospitals, mHealth, and tele-homes. Apollo Telehealth Services and Practo Technologies are some of the key players in the market. To get a detailed report, contact us at - info@insights10.com
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
Online aptitude test management system project report.pdfKamal Acharya
The purpose of on-line aptitude test system is to take online test in an efficient manner and no time wasting for checking the paper. The main objective of on-line aptitude test system is to efficiently evaluate the candidate thoroughly through a fully automated system that not only saves lot of time but also gives fast results. For students they give papers according to their convenience and time and there is no need of using extra thing like paper, pen etc. This can be used in educational institutions as well as in corporate world. Can be used anywhere any time as it is a web based application (user Location doesn’t matter). No restriction that examiner has to be present when the candidate takes the test.
Every time when lecturers/professors need to conduct examinations they have to sit down think about the questions and then create a whole new set of questions for each and every exam. In some cases the professor may want to give an open book online exam that is the student can take the exam any time anywhere, but the student might have to answer the questions in a limited time period. The professor may want to change the sequence of questions for every student. The problem that a student has is whenever a date for the exam is declared the student has to take it and there is no way he can take it at some other time. This project will create an interface for the examiner to create and store questions in a repository. It will also create an interface for the student to take examinations at his convenience and the questions and/or exams may be timed. Thereby creating an application which can be used by examiners and examinee’s simultaneously.
Examination System is very useful for Teachers/Professors. As in the teaching profession, you are responsible for writing question papers. In the conventional method, you write the question paper on paper, keep question papers separate from answers and all this information you have to keep in a locker to avoid unauthorized access. Using the Examination System you can create a question paper and everything will be written to a single exam file in encrypted format. You can set the General and Administrator password to avoid unauthorized access to your question paper. Every time you start the examination, the program shuffles all the questions and selects them randomly from the database, which reduces the chances of memorizing the questions.
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
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.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
1. TYPE THE SUBJECT NAME HERE
SUBJECT CODE
II III
DEEP LEARNING BASED HEALTH
MONITORING SYSTEM
ZEROTH REVIEW
DATE : 16/11/2021
STUDENT MEMBER : NITHYA S
REG. NO : 141920403004
GUIDED BY: Dr. J. RAJA (HOD, ECE)
20PCOPJ301
Innovative Design Project - III
2. OVERVIEW
● Problem definition
● Objective
● Literature Review
● Implementation Methodology
● Sustainable Development Goals – Category
● Timeline
2
20PCOPJ301
ZEROTH REVIEW
3. 3
PROBLEM DEFINITION
• India is one of the lowest ranking country in
consuming unhealthiest packaged food.
• There is an evident growing trend in consuming
un-healthy packaged food such as noodles, savory
snacks, biscuits etc..
• The Indian packaged food market is expected to be
double and grow up to USD 70 billion in the next 5-
10 years. Source: Business Standard (BS- Feb, 2021)
20PCOPJ301
ZEROTH REVIEW
4. 4
OBJECTIVE
PROJECT WORK
• The objective of this project is to monitor the level of Fat, Transfat through consumption of
packaged food.
• This project will use the most powerful machine learning technique from the field of deep
learning to recognize and classify the nutritional facts in each of the Packaged food
images using a pre trained Convolutional Neural Network (CNN) as a feature extractor to
train an image category classifier.
• The data such as Fat, Trans-Fat will be compared with the permissible limit as advised by
the WHO (based on Age & Gender). The user will be informed once the Threshold level is
reached through SMS/ WhatsApp.
• Beyond the threshold level consumption, the user will be also advised on the physical
excise dynamics (such as Walking, Cycling) need to burn the same to maintain their health
and well-being.
20PCOPJ301
ZEROTH REVIEW
5. LITERATURE REVIEW
S. No Paper title Publication & Year Author
Inference used for
project
1
An Efficient CNN
Architecture for Image
Classification
IEEE, 04 October 2018
Divya Kiran,
Hariharan
Ramasangu,
Shahmustafa
Mujawar
Study &
understanding of
CNN In image
processing
2
Review of Deep
Learning Algorithms
and Architectures
IEEE, 22 April 2019
Ajay Shrestha,
Ausif Mahmood
Study &
understanding of
Deep Learning
3 Machine learning
methods for IoT and
their Future
Applications
IEEE, 30 January 2020 Mansi Jindal,
Jatin Gupta,
Bharat Bhushan
ML-IoT interface
and application
20PCOPJ301
ZEROTH REVIEW
8. SCHEDULE PROGRESS
10th Oct- 20th Oct 2021 Title Discussion & Confirmation
21st Oct - 30th Oct 2021 Literature Survey & Feasibility Study
1st Nov- 15th Nov 2021 Study on concepts
16th Nov 2021 Zeroth Review
TIMELINE OF THE WORK
20PCOPJ301
ZEROTH REVIEW
