Submit Search
Upload
IRJET- GPS based Medicine Informator
•
0 likes
•
14 views
IRJET Journal
Follow
https://www.irjet.net/archives/V6/i7/IRJET-V6I770.pdf
Read less
Read more
Engineering
Report
Share
Report
Share
1 of 7
Download now
Download to read offline
Recommended
IRJET- Analysis of Brand Value Prediction based on Social Media Data
IRJET- Analysis of Brand Value Prediction based on Social Media Data
IRJET Journal
IRJET- Disease Prediction System
IRJET- Disease Prediction System
IRJET Journal
IRJET- Analysis of Rating Difference and User Interest
IRJET- Analysis of Rating Difference and User Interest
IRJET Journal
Controlling informative features for improved accuracy and faster predictions...
Controlling informative features for improved accuracy and faster predictions...
Damian R. Mingle, MBA
BIOMARKER EXTRACTION FROM EMR / EHR DATA - ASHISH SHARMA & KAIWEN ZHONG
BIOMARKER EXTRACTION FROM EMR / EHR DATA - ASHISH SHARMA & KAIWEN ZHONG
Ashish Sharma
INDUSTRIALIZING INDUSTRIALIZING MACHINE LEARNING IN PHARMA: Challenges, Use C...
INDUSTRIALIZING INDUSTRIALIZING MACHINE LEARNING IN PHARMA: Challenges, Use C...
Ashish Sharma
International Journal of Engineering Research and Development (IJERD)
International Journal of Engineering Research and Development (IJERD)
IJERD Editor
IRJET - Term based Personalization of Feature Selection of Auto Filling Pa...
IRJET - Term based Personalization of Feature Selection of Auto Filling Pa...
IRJET Journal
Recommended
IRJET- Analysis of Brand Value Prediction based on Social Media Data
IRJET- Analysis of Brand Value Prediction based on Social Media Data
IRJET Journal
IRJET- Disease Prediction System
IRJET- Disease Prediction System
IRJET Journal
IRJET- Analysis of Rating Difference and User Interest
IRJET- Analysis of Rating Difference and User Interest
IRJET Journal
Controlling informative features for improved accuracy and faster predictions...
Controlling informative features for improved accuracy and faster predictions...
Damian R. Mingle, MBA
BIOMARKER EXTRACTION FROM EMR / EHR DATA - ASHISH SHARMA & KAIWEN ZHONG
BIOMARKER EXTRACTION FROM EMR / EHR DATA - ASHISH SHARMA & KAIWEN ZHONG
Ashish Sharma
INDUSTRIALIZING INDUSTRIALIZING MACHINE LEARNING IN PHARMA: Challenges, Use C...
INDUSTRIALIZING INDUSTRIALIZING MACHINE LEARNING IN PHARMA: Challenges, Use C...
Ashish Sharma
International Journal of Engineering Research and Development (IJERD)
International Journal of Engineering Research and Development (IJERD)
IJERD Editor
IRJET - Term based Personalization of Feature Selection of Auto Filling Pa...
IRJET - Term based Personalization of Feature Selection of Auto Filling Pa...
IRJET Journal
IRJET- Result on the Application for Multiple Disease Prediction from Symptom...
IRJET- Result on the Application for Multiple Disease Prediction from Symptom...
IRJET Journal
IRJET-Fake Product Review Monitoring
IRJET-Fake Product Review Monitoring
IRJET Journal
A Hypothesis is Placed to Justify the Extendibility of Recommender System/ Re...
A Hypothesis is Placed to Justify the Extendibility of Recommender System/ Re...
Dr. Amarjeet Singh
International Journal of Computational Engineering Research(IJCER)
International Journal of Computational Engineering Research(IJCER)
ijceronline
Ijebea14 271
Ijebea14 271
Iasir Journals
Feasibility Study on Moving Towards Electronic Prescription over Manual Presc...
Feasibility Study on Moving Towards Electronic Prescription over Manual Presc...
IRJET Journal
Medication Compliance Tools and Technology
Medication Compliance Tools and Technology
Software Advice
resumeliliane
resumeliliane
Liliane Al Halaby
Providing Highly Accurate Service Recommendation over Big Data using Adaptive...
Providing Highly Accurate Service Recommendation over Big Data using Adaptive...
IRJET Journal
20320140501009 2
20320140501009 2
IAEME Publication
IRJET- Efficiently Analyzing and Detecting Fake Reviews
IRJET- Efficiently Analyzing and Detecting Fake Reviews
IRJET Journal
IRJET- Disease Classification based on Symptoms using CHATBOT
IRJET- Disease Classification based on Symptoms using CHATBOT
IRJET Journal
IRJET- Sentimental Analysis for Students’ Feedback using Machine Learning App...
IRJET- Sentimental Analysis for Students’ Feedback using Machine Learning App...
IRJET Journal
Software Advice Vendor Showdown: Compare the 6 Top-Rated Patient Portal Vendors
Software Advice Vendor Showdown: Compare the 6 Top-Rated Patient Portal Vendors
Software Advice
Context Based Classification of Reviews Using Association Rule Mining, Fuzzy ...
Context Based Classification of Reviews Using Association Rule Mining, Fuzzy ...
journalBEEI
NHS Number Survey Report
NHS Number Survey Report
Mario Robusti
SMART HEALTH PREDICTION USING DATA MINING by Dr.Mahboob Khan Phd
SMART HEALTH PREDICTION USING DATA MINING by Dr.Mahboob Khan Phd
Healthcare consultant
Patient Privacy Control for Health Care in Cloud Computing System
Patient Privacy Control for Health Care in Cloud Computing System
IRJET Journal
IRJET - Support Vector Machine versus Naive Bayes Classifier:A Juxtaposition ...
IRJET - Support Vector Machine versus Naive Bayes Classifier:A Juxtaposition ...
IRJET Journal
IRJET- Scalable Content Aware Collaborative Filtering for Location Recommenda...
IRJET- Scalable Content Aware Collaborative Filtering for Location Recommenda...
IRJET Journal
Feasibility Study of Hospital Management System
Feasibility Study of Hospital Management System
Neelam Priya
Improving Healthcare App Development- Reasons Why You Should Invest in it.
Improving Healthcare App Development- Reasons Why You Should Invest in it.
Techugo
More Related Content
What's hot
IRJET- Result on the Application for Multiple Disease Prediction from Symptom...
IRJET- Result on the Application for Multiple Disease Prediction from Symptom...
IRJET Journal
IRJET-Fake Product Review Monitoring
IRJET-Fake Product Review Monitoring
IRJET Journal
A Hypothesis is Placed to Justify the Extendibility of Recommender System/ Re...
A Hypothesis is Placed to Justify the Extendibility of Recommender System/ Re...
Dr. Amarjeet Singh
International Journal of Computational Engineering Research(IJCER)
International Journal of Computational Engineering Research(IJCER)
ijceronline
Ijebea14 271
Ijebea14 271
Iasir Journals
Feasibility Study on Moving Towards Electronic Prescription over Manual Presc...
Feasibility Study on Moving Towards Electronic Prescription over Manual Presc...
IRJET Journal
Medication Compliance Tools and Technology
Medication Compliance Tools and Technology
Software Advice
resumeliliane
resumeliliane
Liliane Al Halaby
Providing Highly Accurate Service Recommendation over Big Data using Adaptive...
Providing Highly Accurate Service Recommendation over Big Data using Adaptive...
IRJET Journal
20320140501009 2
20320140501009 2
IAEME Publication
IRJET- Efficiently Analyzing and Detecting Fake Reviews
IRJET- Efficiently Analyzing and Detecting Fake Reviews
IRJET Journal
IRJET- Disease Classification based on Symptoms using CHATBOT
IRJET- Disease Classification based on Symptoms using CHATBOT
IRJET Journal
IRJET- Sentimental Analysis for Students’ Feedback using Machine Learning App...
IRJET- Sentimental Analysis for Students’ Feedback using Machine Learning App...
IRJET Journal
Software Advice Vendor Showdown: Compare the 6 Top-Rated Patient Portal Vendors
Software Advice Vendor Showdown: Compare the 6 Top-Rated Patient Portal Vendors
Software Advice
Context Based Classification of Reviews Using Association Rule Mining, Fuzzy ...
Context Based Classification of Reviews Using Association Rule Mining, Fuzzy ...
journalBEEI
NHS Number Survey Report
NHS Number Survey Report
Mario Robusti
SMART HEALTH PREDICTION USING DATA MINING by Dr.Mahboob Khan Phd
SMART HEALTH PREDICTION USING DATA MINING by Dr.Mahboob Khan Phd
Healthcare consultant
Patient Privacy Control for Health Care in Cloud Computing System
Patient Privacy Control for Health Care in Cloud Computing System
IRJET Journal
IRJET - Support Vector Machine versus Naive Bayes Classifier:A Juxtaposition ...
IRJET - Support Vector Machine versus Naive Bayes Classifier:A Juxtaposition ...
IRJET Journal
IRJET- Scalable Content Aware Collaborative Filtering for Location Recommenda...
IRJET- Scalable Content Aware Collaborative Filtering for Location Recommenda...
IRJET Journal
What's hot
(20)
IRJET- Result on the Application for Multiple Disease Prediction from Symptom...
IRJET- Result on the Application for Multiple Disease Prediction from Symptom...
IRJET-Fake Product Review Monitoring
IRJET-Fake Product Review Monitoring
A Hypothesis is Placed to Justify the Extendibility of Recommender System/ Re...
A Hypothesis is Placed to Justify the Extendibility of Recommender System/ Re...
International Journal of Computational Engineering Research(IJCER)
International Journal of Computational Engineering Research(IJCER)
Ijebea14 271
Ijebea14 271
Feasibility Study on Moving Towards Electronic Prescription over Manual Presc...
Feasibility Study on Moving Towards Electronic Prescription over Manual Presc...
Medication Compliance Tools and Technology
Medication Compliance Tools and Technology
resumeliliane
resumeliliane
Providing Highly Accurate Service Recommendation over Big Data using Adaptive...
Providing Highly Accurate Service Recommendation over Big Data using Adaptive...
20320140501009 2
20320140501009 2
IRJET- Efficiently Analyzing and Detecting Fake Reviews
IRJET- Efficiently Analyzing and Detecting Fake Reviews
IRJET- Disease Classification based on Symptoms using CHATBOT
IRJET- Disease Classification based on Symptoms using CHATBOT
IRJET- Sentimental Analysis for Students’ Feedback using Machine Learning App...
IRJET- Sentimental Analysis for Students’ Feedback using Machine Learning App...
Software Advice Vendor Showdown: Compare the 6 Top-Rated Patient Portal Vendors
Software Advice Vendor Showdown: Compare the 6 Top-Rated Patient Portal Vendors
Context Based Classification of Reviews Using Association Rule Mining, Fuzzy ...
Context Based Classification of Reviews Using Association Rule Mining, Fuzzy ...
NHS Number Survey Report
NHS Number Survey Report
SMART HEALTH PREDICTION USING DATA MINING by Dr.Mahboob Khan Phd
SMART HEALTH PREDICTION USING DATA MINING by Dr.Mahboob Khan Phd
Patient Privacy Control for Health Care in Cloud Computing System
Patient Privacy Control for Health Care in Cloud Computing System
IRJET - Support Vector Machine versus Naive Bayes Classifier:A Juxtaposition ...
IRJET - Support Vector Machine versus Naive Bayes Classifier:A Juxtaposition ...
IRJET- Scalable Content Aware Collaborative Filtering for Location Recommenda...
IRJET- Scalable Content Aware Collaborative Filtering for Location Recommenda...
Similar to IRJET- GPS based Medicine Informator
Feasibility Study of Hospital Management System
Feasibility Study of Hospital Management System
Neelam Priya
Improving Healthcare App Development- Reasons Why You Should Invest in it.
Improving Healthcare App Development- Reasons Why You Should Invest in it.
Techugo
Improving Healthcare App Development Reasons Why You Should Invest in it.pdf
Improving Healthcare App Development Reasons Why You Should Invest in it.pdf
Techugo
IRJET- Classification of Food Recipe Comments using Naive Bayes
IRJET- Classification of Food Recipe Comments using Naive Bayes
IRJET Journal
Improving Healthcare App Development Reasons Why You Should Invest in it.pdf
Improving Healthcare App Development Reasons Why You Should Invest in it.pdf
Techugo
IRJET - Medicine Recommendation System
IRJET - Medicine Recommendation System
IRJET Journal
IRJET- Medkwick - An E-Commerce Mobile Application based on Online Medici...
IRJET- Medkwick - An E-Commerce Mobile Application based on Online Medici...
IRJET Journal
Smart Healthcare Prediction System Using Machine Learning
Smart Healthcare Prediction System Using Machine Learning
IRJET Journal
SENTIMENT ANALYSIS ON PRODUCT FEATURES BASED ON LEXICON APPROACH USING NATURA...
SENTIMENT ANALYSIS ON PRODUCT FEATURES BASED ON LEXICON APPROACH USING NATURA...
ijnlc
SENTIMENT ANALYSIS ON PRODUCT FEATURES BASED ON LEXICON APPROACH USING NATURA...
SENTIMENT ANALYSIS ON PRODUCT FEATURES BASED ON LEXICON APPROACH USING NATURA...
kevig
Medic - Artificially Intelligent System for Healthcare Services ...
Medic - Artificially Intelligent System for Healthcare Services ...
IRJET Journal
TOWARDS AUTOMATIC DETECTION OF SENTIMENTS IN CUSTOMER REVIEWS
TOWARDS AUTOMATIC DETECTION OF SENTIMENTS IN CUSTOMER REVIEWS
ijistjournal
TOWARDS AUTOMATIC DETECTION OF SENTIMENTS IN CUSTOMER REVIEWS
TOWARDS AUTOMATIC DETECTION OF SENTIMENTS IN CUSTOMER REVIEWS
ijistjournal
Know the cost of healthcare app development with us!.pdf
Know the cost of healthcare app development with us!.pdf
Techugo
Methods for Sentiment Analysis: A Literature Study
Methods for Sentiment Analysis: A Literature Study
vivatechijri
Online Medical System
Online Medical System
IRJET Journal
how to develop healthcare app.pdf
how to develop healthcare app.pdf
SophiaJasper
how to develop healthcare app.pdf
how to develop healthcare app.pdf
SophiaJasper
Medication Adherence in Bangladesh
Medication Adherence in Bangladesh
S. M Abdulla Shuvo
Going Live
Going Live
C John Torontow
Similar to IRJET- GPS based Medicine Informator
(20)
Feasibility Study of Hospital Management System
Feasibility Study of Hospital Management System
Improving Healthcare App Development- Reasons Why You Should Invest in it.
Improving Healthcare App Development- Reasons Why You Should Invest in it.
Improving Healthcare App Development Reasons Why You Should Invest in it.pdf
Improving Healthcare App Development Reasons Why You Should Invest in it.pdf
IRJET- Classification of Food Recipe Comments using Naive Bayes
IRJET- Classification of Food Recipe Comments using Naive Bayes
Improving Healthcare App Development Reasons Why You Should Invest in it.pdf
Improving Healthcare App Development Reasons Why You Should Invest in it.pdf
IRJET - Medicine Recommendation System
IRJET - Medicine Recommendation System
IRJET- Medkwick - An E-Commerce Mobile Application based on Online Medici...
IRJET- Medkwick - An E-Commerce Mobile Application based on Online Medici...
Smart Healthcare Prediction System Using Machine Learning
Smart Healthcare Prediction System Using Machine Learning
SENTIMENT ANALYSIS ON PRODUCT FEATURES BASED ON LEXICON APPROACH USING NATURA...
SENTIMENT ANALYSIS ON PRODUCT FEATURES BASED ON LEXICON APPROACH USING NATURA...
SENTIMENT ANALYSIS ON PRODUCT FEATURES BASED ON LEXICON APPROACH USING NATURA...
SENTIMENT ANALYSIS ON PRODUCT FEATURES BASED ON LEXICON APPROACH USING NATURA...
Medic - Artificially Intelligent System for Healthcare Services ...
Medic - Artificially Intelligent System for Healthcare Services ...
TOWARDS AUTOMATIC DETECTION OF SENTIMENTS IN CUSTOMER REVIEWS
TOWARDS AUTOMATIC DETECTION OF SENTIMENTS IN CUSTOMER REVIEWS
TOWARDS AUTOMATIC DETECTION OF SENTIMENTS IN CUSTOMER REVIEWS
TOWARDS AUTOMATIC DETECTION OF SENTIMENTS IN CUSTOMER REVIEWS
Know the cost of healthcare app development with us!.pdf
Know the cost of healthcare app development with us!.pdf
Methods for Sentiment Analysis: A Literature Study
Methods for Sentiment Analysis: A Literature Study
Online Medical System
Online Medical System
how to develop healthcare app.pdf
how to develop healthcare app.pdf
how to develop healthcare app.pdf
how to develop healthcare app.pdf
Medication Adherence in Bangladesh
Medication Adherence in Bangladesh
Going Live
Going Live
More from IRJET Journal
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
IRJET Journal
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
IRJET Journal
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
IRJET Journal
Effect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil Characteristics
IRJET Journal
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
IRJET Journal
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
IRJET Journal
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
IRJET Journal
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
IRJET Journal
A REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADAS
IRJET Journal
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
IRJET Journal
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
IRJET Journal
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
IRJET Journal
Survey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare System
IRJET Journal
Review on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridges
IRJET Journal
React based fullstack edtech web application
React based fullstack edtech web application
IRJET Journal
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
IRJET Journal
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
IRJET Journal
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
IRJET Journal
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
IRJET Journal
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
IRJET Journal
More from IRJET Journal
(20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
Effect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil Characteristics
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADAS
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
Survey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare System
Review on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridges
React based fullstack edtech web application
React based fullstack edtech web application
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Recently uploaded
Porous Ceramics seminar and technical writing
Porous Ceramics seminar and technical writing
rakeshbaidya232001
Call Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile service
rehmti665
Introduction to IEEE STANDARDS and its different types.pptx
Introduction to IEEE STANDARDS and its different types.pptx
upamatechverse
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
Soham Mondal
Processing & Properties of Floor and Wall Tiles.pptx
Processing & Properties of Floor and Wall Tiles.pptx
pranjaldaimarysona
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
Suhani Kapoor
Microscopic Analysis of Ceramic Materials.pptx
Microscopic Analysis of Ceramic Materials.pptx
purnimasatapathy1234
247267395-1-Symmetric-and-distributed-shared-memory-architectures-ppt (1).ppt
247267395-1-Symmetric-and-distributed-shared-memory-architectures-ppt (1).ppt
ssuser5c9d4b1
★ CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR
★ CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR
9953056974 Low Rate Call Girls In Saket, Delhi NCR
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
KurinjimalarL3
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur High Profile
DJARUM4D - SLOT GACOR ONLINE | SLOT DEMO ONLINE
DJARUM4D - SLOT GACOR ONLINE | SLOT DEMO ONLINE
slot gacor bisa pakai pulsa
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
Call Girls in Nagpur High Profile
High Profile Call Girls Nashik Megha 7001305949 Independent Escort Service Na...
High Profile Call Girls Nashik Megha 7001305949 Independent Escort Service Na...
Call Girls in Nagpur High Profile
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
9953056974 Low Rate Call Girls In Saket, Delhi NCR
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
null - The Open Security Community
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
soniya singh
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
Dr.Costas Sachpazis
Analog to Digital and Digital to Analog Converter
Analog to Digital and Digital to Analog Converter
AbhinavSharma374939
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
Suhani Kapoor
Recently uploaded
(20)
Porous Ceramics seminar and technical writing
Porous Ceramics seminar and technical writing
Call Girls Delhi {Jodhpur} 9711199012 high profile service
Call Girls Delhi {Jodhpur} 9711199012 high profile service
Introduction to IEEE STANDARDS and its different types.pptx
Introduction to IEEE STANDARDS and its different types.pptx
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
OSVC_Meta-Data based Simulation Automation to overcome Verification Challenge...
Processing & Properties of Floor and Wall Tiles.pptx
Processing & Properties of Floor and Wall Tiles.pptx
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
Microscopic Analysis of Ceramic Materials.pptx
Microscopic Analysis of Ceramic Materials.pptx
247267395-1-Symmetric-and-distributed-shared-memory-architectures-ppt (1).ppt
247267395-1-Symmetric-and-distributed-shared-memory-architectures-ppt (1).ppt
★ CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR
★ CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
DJARUM4D - SLOT GACOR ONLINE | SLOT DEMO ONLINE
DJARUM4D - SLOT GACOR ONLINE | SLOT DEMO ONLINE
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
High Profile Call Girls Nashik Megha 7001305949 Independent Escort Service Na...
High Profile Call Girls Nashik Megha 7001305949 Independent Escort Service Na...
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
Analog to Digital and Digital to Analog Converter
Analog to Digital and Digital to Analog Converter
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
IRJET- GPS based Medicine Informator
1.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 07 | July 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 804 GPS BASED MEDICINE INFORMATOR Chaturthi Kamat1, Vedang Parab2, Nikhil Naik3, Omkarnatha B Naik4, Dr. Aisha Fernandes5 1,2,3,4Student, Information Technology, Goa College of Engineering 5Associate Professor, Dept. of Information Technology, Goa college of Engineering, Goa, India ---------------------------------------------------------------------***---------------------------------------------------------------------- Abstract - Situations have arisen, that having internet at our disposal, we tend to find the answersofmostofourqueries online. One such frequent searches includes disease symptoms and its possible cures. Many times common peopledo nothave medical knowledge of the functionality a particular medication can provide. Searching online is the far stretched process that can be used for the recognition of the same. We are focusing on integrating the search of the medicines, its usages and the closest pharmacy locations, at one single platform. A platform having the database contents of the medicine, the cost of it, illness that it can be prescribed for along with the pharmacies where the medicine is available. Having the ease of getting the required informationatasingle place, rather than penetrating through series of web links to get the information. Our goal is to make healthcare understandable, accessible and convenient. Key Words: Naïve Bayes Classifier, RuleBased approach, Negation, Hybrid Methods, Optical character recognition, Location. 1. INTRODUCTION The growth of internet and mobile technology has made getting information easier than ever. This rapidly changing business environment is largely been driven by new breed users, who are inclined towards adopting technology which is- quick, easy-to-use, readily available. For instance any required information is been searchedoninternet,forthatis available at finger tips. Considering India to be searching for the topics related to medicine information more than other countries according to the trending searches on google, we are attempting to infuse various parts of the medicine and healthcare departments. The user has the feature to type or directly click an image of the medicine and search it, to get the required information. Additionally, the application will also show the end-user the availability of that medicine in his locality and the pharmacy in which he will be able to find the medicine. Giving the following information of basic cure to common ailments, the user wouldhavetheeasetoacquire the medicines from the closest pharmacy, avoiding the places which will not have themedicines,savingfurthertime and efforts. Designing an application which doesntonlyhelp the end-user, but also the other nodes related to the medical domain. Categorically, the seller, the prescriber and the consumer; each one using the application for relatively different purpose with their own benefits. Additional, interactive chat bot shall be at user service at all times for the chatting with the concerned doctor. Predefined bot can take user inputs and then set an appointment or online consultation based on the problem the user is facing. 1.1 Proposed Idea Medicine Locator is a mobile application useful for the users aiming to find medicine related data for various medical fields. The main aim of the project is the development of a Medicine Locator Applicationfocusing onmedicinecontents, symptoms that medication can be used for and also the possible pharmacies where that medicine shall be available. Saving the user from the hassle of running one chemiststore to another when in need of specific medicine!Ourappbrings to you an online medicine platform, which can be accessed for all health needs. You can also get the health related consultation with the best doctors nearby We are focused towards making healthcare accessible and affordableandso give you plenty of options in terms of medicine substitutes. The application will be using an API for medicine database which will contain data such as the medicine name, contents and the information which will be retrieved from this database whenever that particular name of medicine has been searched into the application Another database is also used to keep a track of the basic interaction the user will have with the chat bot and the symptoms specified byhim to find the relevant doctor to sought the illness the user is facing. With respect to different modules or node of medical field, Medicine Locator application can be used for various purposes, all under one single application. Medicine Locator application also helps to have personal interactionswiththe doctors for common ailments,sotheconsultationhappensat user leisure. Also, not waiting for queue to get the appointment of the doctor. If the illness needs personal checkup, appointmentcanbebookedwiththe recommended doctor as per the needs. With us, you can know about the composition of medicines prescribed to you by your doctor and search for its same but equallyeffectivesubstitute,along with the symptoms it can be used for. Takingthestressaway from the users, when making recovery easier and faster. Many times the doctormaynotprescribea medicinebecause he may not be sure as to that medicine is available in his proximity or not. In such cases the doctor can use the app to find whether the pharmacies present in his locality has availability of that medicine. If not then he can prescribe some other substitute for that medicine.
2.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 07 | July 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 805 1.2 Proposed Algorithms Sentiment Analysis in our application will be used to give ratings to the doctors depending on the various feedbacks/reviews received from the customers. This method of rating has various advantages such as: • Scalability: Sentiment analysis allows to process data at scale in an efficient and cost-effective way i.e. it becomes difficult to read all of the data present especially if it’sa large set. • Consistent criteria: Humans do not observe clear criteria for evaluating the sentiment of a piece of text when judging the sentiment for that particular piece of text. It’s a subjective task which is heavily influenced by personal experiences, thoughts, and beliefs. By using a centralized sentiment analysis system, companies can apply the same criteria to all of their data. This helps to reduce errors and improve data consistency. There are different algorithms and methods in which sentiment analysis can be implemented.Theseincludeautomatedmethods,RuleBased methods and Hybrid methods. The one we will be using in our project is a hybrid method wherein well be using a combination of both Rule Based as well as automated method. For automated method well be using Naive Bayes algorithm and for Rule Based method well be using a simple counter algorithm which will count the number of positive and negative words along withsomeadditional negation and emotion words to improve the accuracy. 2. WORKING OF ALGORITHMS Naive Bayes classifier: Naive Bayes has been studied extensively since the 1950s. In Naive Bayesalgorithmwords are classified into two classes positive and negative and are conditionally independent of each other. This is a type of Supervised Machine Learning Algorithm.Hence,we’ll needa Dataset with proper labelling of positive and negative review. Once we receive the positive and negative reviews, we can move on to extract the features out of this dataset. The first thing to be done in this will be to change theform of the sentences to more meaningful words. For this the first step would be to perform word tokenization.Tokenizationis splitting up of the strings into words. The second step is to lemmatize it. Lemmatization returns the root form of any particular word eg. Signing - Sing, Studying - Study, Studies - Study. Then we remove all the Stop-words. Stop-words are just the words which does not provide any sentiment meaning to the sentences eg. ‘a’, ‘the’, ‘above’, ‘behind’ etc. Now once we have all the important features, we can now start the extraction of these features. For the extraction purposes we’ll be using Bag-Of-Words Model – The bag-of- words model is commonly used in methods of document classification where the (frequency of) occurrence of each word is used as a training feature of the classifier. Once we have the most used words from the list, we’ll then be taking into consideration the reviews and thelabelsprovidedalong with the most frequent occurring words. This will be the training set for the Naive Bayes classifier model. Once the model is trained it can then be used to find the sentiment of the new review passed onto it. It will provide the results in terms of a probability value denoted by Nb. Naive Bayes classifier can be further explained as: Figure 1: Naive Bayes Classifier Rule Based Approach: The second approach is a rule-based system. Usually, rule-based approaches define a set of rules that identify subjectivity, polarity, or the subject of an opinion. In our case we’ll be using three dictionaries for this purpose whicharea SentimentDictionary,SentimentDegree Dictionary and a Negation Dictionary. The sentiment dictionary will consist a list of all the positive and negative words. Figure 2: Rule Based Approach
3.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 07 | July 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 806 Negation Dictionary will consist of all the negation words such as ‘not’, ‘no’, ‘unlike’, etc. And finally Sentiment Degree Dictionary will consist of words which are divided into different levels starting from L1 till L5 where L1 which contain all the high emotion words such as ‘most’, ‘best’, ‘greatest’, ‘absolutely’, etc. followed by L2 and so on till L5. Now the review to be evaluated will be taken into consideration. The first step here will be to tokenize the sentence and then to tokenize words from each sentence. It is important to note down the number of sentences (Nc). Then once each sentence is separated into different words these words can now be used to determine the sentiment using the various dictionaries present. It will check the number of positive words and negative words using the Sentiment Dictionary. Once the count of positive(P) and negative(N) words are found the next step is to find the difference between them given by Rw=P-N. Similarly the algorithms then counts the number of Negation words present which is given by ND. And finally the degree of the word is found using the Sentiment Degree Dictionary denoted by Dw. Then we find theeffectivesentimentpolarity by using the formula: S(r)=((-1)^ND)+Rw+Dw This is to be found for each sentence separately. Now comes the step where we’ll be merging the two systems. This will be done by using following formula: Sc=(Nb/Nc)*∑[((-1)^ND+Dw+Rw] Ns=(10/[1+e^(-Sc)])-5 Normalize sentiment score (Ns) will be the final rating for the particular review. It will be in a range from 0-5. For our purposes we will be creating our own datasets manually which will include reviews given by the patients to the doctors. Feedbacks/Reviews for creation of datasets can be found from various online sources such as HealthGrades.com, RateMDs.com, Vitals.com, etc. It will be similar to what is shown below: Figure 3: Datasets for the sentiment analysis Algorithm for Location Based Search of the Pharmacies: 1. Dijkstra algorithm, plays a tiny part in finding the routes, and was initially used in year 1959. Along with the other improvements the dijkstras is now integrated with various other optimized algorithms. For algorithm, Dijkstra adds to the map technology using the idea of a priority queue. Computing a route a long way across a large map can be expensive and slow. 2. Astar has been a very important concept in traditional AI, and many route calculation algorithms include it. Astar may provide a larger performance advantage for graphs, but not much for road networks. 3. Algorithms to perform geocoding and reverse geocoding: Geocoding is the process of transforming a description of a location—such as a pair of coordinates, an address, or a name of a place—to a location on the earth’s surface. Reverse geocoding is the place name can be processed using back (reverse) coding of a pointlocation(latitude,longitude) to the name. Most of these algorithms have already been implemented with many more optimizations and more efficient algorithms in many applications. Since we need the most optimal and efficient way to detect the locations, we’ll be making use of Google Maps API in which we’ll be specifically making use of Maps SDK for Android, Directions API along with additional APIs for more efficient usage. Text Recognition(OCR): It is one such system that allows us to scan printed, typewritten or hand written text (numerals, letters or symbols) and/or convert scanned image in the file of plain text or a word document. Difficulty faced in OCR is that sometimes it is not able to recognize every text present in the image for reasons like having a shiny surface, or bad lighting etc. In that cases what we can do is that there will be a separate file in which the word which is more relatable to the text will be stored, and after the deep search is finished , names from those file will be displayed to the user , from which he can choose which medicine it was. Also if we use this technique there is a possibility that this algorithmmight consider words such as ‘a’, ‘the’, ‘is’ etc, whicharemostlikely to repeat. So to avoid considering those words, there will be a file which will have all the words which arerepeatinganda search will be performed to eliminate those words.
4.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 07 | July 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 807 Figure 4: Working of binary search Algorithm In OCR the following procedure is been followed to identify the medicine name. First user takes a snapshot of the medicine packet, where he/she is shown a preview of that image and two options will be given. One will be continue with the image and second will be delete image. If user thinks that the image is good enough, he will continuewithit and if user thinks that image is distorted, than he might take another snapshot of the medicine and will proceedwiththat. Now once OCR gets the image, it will find out all the possible words from that image and an AlertDialog boxwill beshown to the user, which mainly will contain all the words detected by OCR. User will select the word which closely matches its medicine name and that input will be given to firebase to locate any medicine name related to that selected word. Firebase will revert back with all the medicine name that blend with the given input and another AlertDialog box will be shown containing medicinenames.Userthenselectsfrom that AlertDialog box and he will get all the details of the medicine. Search bar with AutoComplete Function: Another way to get medicine details is by searching in the provided search bar. Search bar contains an AutoComplete functions which predicts medicine names based on user’s input. AutoComplete listens for any change in theinputandifthere is any subtle change, it will call firebase immediately for the data and the data will be stored in an array which will be displayed through RecyclerView. Sign In/Sign up: A Sign in/Sign up facility is been provided for user as well as doctor. A sign in for user is mainly to store personal details of the user, so that when user contacts a doctor , his/her personal details are been given to the doctor(not all) so that doctor might find it easier tocontacta user. Sign in facility is given to doctor so that, suppose a user needs doctor’s clinic address, user can get it easily. Another reason is that, after a small talk with the chat bot, it suggests user with recommended doctors list. So when a user selects any doctor from it, that doctor shouldbenotifiedthathe/she has been chosen by the user. All the authentication is been done by firebase itself, and to store user/doctor details it uses real-time database and when a particular email/password is entered, firebase created unique user ID which is linked to that particular user/doctor. Chat Bot: 1. Multinational Naive Bayes: This algorithm will separate each word and will match the word toitsrespectedintent.At the end the intent which has maximum score is selected and the responses within it will be displayed. 2. Decision Tree Algorithm: In decision tree algorithm, basically a question will be asked and will be provided with related options. A user needs to select it from that particular options which will take him to the next part of conversation.
5.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 07 | July 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 808 3. Artificial Neural Networks: Each sentence is brokendown into different words and each word then is used as input for the neural networks. The weighted connections are then calculated by different iterations through the training data thousands of times. Each time improving the weights to making it accurate. Algorithm used here will befeedforward neural network algorithm. For chatbot, Service used is Dialogflow. In Dialogflow, basically it contains intents, Responses, Entities. So in Intent part, it will contain similar set of things. Like a welcome part, wherein it will have some sample inputs, Entities and responses to that text. In entities part, it will carry data, such as name, date etc which can be used for displaying in response part. In response part, there will be different types of responses related to that topic. So now, first chatbot will ask some basic questions giving multiple choices. User will select it from that options. This will be carried out for some simple questions. When there will be a part where user needs to enter text, over there multinational na¨ıve bayes algorithmwill beusedandwill be sorted out to different intents based on symptom. At last all that data will be combined and chatbot will give some recommendation for doctor, wherein user will select one of them, and that combined data will be forwarded to doctor, where in he can just analyzethedata andresponseaccording to it. Figure 5: chat bot data extraction Chat Bot will be basically used to gather all the basic data , which doctor needs to know so that time is saved. Mainly chat bot will be working on decision tree algorithm , where in several questions will be asked (MCQ) and their response will lead to the next questions. All this data will be stored in a file and later doctor can refer that file and act accordingly. Dialog flow is been used to create Chat Bot where in Intents will have similar type of questions, Entity will contain the data , and Responses will have different response to that particular query. Firebase database will be used later-on to store data from entities to a server. 3. APPLICATION OUTPUT OCR (Text Recognition) Now for scanning a medicine, therewill a buttongivenwhich has a camera icon on it. On clicking it, first it will ask for camera permission and then mobile camera will be opened, and a user will be able to click medicine picture.Afterthatan option will be given to keep this image or to discard it and click another image. If user clicks on delete icon button, the image will be deleted and user will be able to click another image. If the user clicks on confirm icon, after that OCR will recognize all the words present in the image and will be shown to the user. After that user will select the word which resembles the medicine name thathescanned.Oncetheuser does that, all the medicines related to that word will be shown. After that user can select that medicine name and respective details will be shown to the user. Figure 6: The OCR screen- with autocomplete feature
6.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 07 | July 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 809 Chat Bot: In Chat Bot the basic data which a doctor needs to know is combined, so that the time is saved. Chat bot asks certain question and based on that it selects certain data and combines and creates a final message which the chat bot sends to the doctor. Now when user describes his/her symptoms, chat bot basically identifies it , and suppose chat bot finds out that the symptoms points out to some common problems, them it will suggest some medicine by itself And suppose it finds out that the user need doctor’s attention based on symptoms, then it will basically tell a user to select a category and based on rating it will list doctor of that type. Figure 7: Chat bot Screen Later user will select the doctor from that given option, and the integrated message will be mailed to the doctor along with user’s basic details. Once doctor suggests something to the user, a feedback pop up will appear on users screen and user can give that doctors feedback over it. Figure 8: The email which is composed and sent to the doctor After a specified time frame a pop-up will be which will ask the user about their experience with the respective doctor, the user’s input will be then stored in database and further the sentiment analysis will be used on it to determine the ratings of that doctor. Figure 9: The feedback screen Automated Rating from Feedbacks (Sentiment Analysis): Feedbacks will be taken from the users foreachdoctor.Once the feedback is received it is then convertedintoa sentiment value which then finally will be convertedintoratings.These ratings are set after merging the Na¨ıve Bayes and Rule Based approach. Fornormalizingthe ratingvaluebetween0- 5 we will be using the formula. Ns=(10/[1+e^(-Sc)])-5 where Sc is the value of Sentiment Calculation after the merge. Finally we will find the average of all the rating value for each doctor and then provide a final star rating to the doctor out of 5.. Which will work in the backend of the application. Displaying pharmacy on the Maps: Pharmacy will have to first register into our application and fill a form which will include the details of the pharmacy, address and its location coordinates. This data will bestored in our Firebase Database. Only registeredpharmacieswill be eligible to be shown into our application. Pharmacies will be displayed on the maps only if that pharmacy has the availability of medicines which theuserwantstosearchi.e.if the medicine name is present in the database or if the stock of a particular medicine is not zero. Searchingforavailability of medicine “Actizo DT 40mg Tablet” will display only Pharmacy8 on the maps since Pharmacy7 doesn’t have that
7.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 07 | July 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 810 medicine in its inventory. If the stock of that medicine in Pharmacy8 would have been 0 then it wouldn’t have been displayed on the maps. Once selected the user will be navigated till the destination location. The closest pharmacy will be search and app navigation will be provided if the user choose the ”show route” option. Figure 10: Pharmacy Location based radius screen The application ”Medicine Locator” scans the medicine name, or takes typed input of the name compares database and gives relevant results. Users are able to locate pharmacies near themwheretheycan findthe medicinethey are looking out for, all time assistance is provided in the application with the help of chat bot .Doctors are prescribed from the top ratings provided by user in their area of expertise. Initially the study of implementation of various modules involved in medicine Locator was studied and the requirements of the different modules was analyzed. Different research papers are used as referenceforthestudy of Opinion Mining and the different approaches used for its implementation. Basic implementation of Optical Character recognition, Sentiment Analysis, Chat bot and Location was successfully carried out, by the end of November 2018.Additionally, we have learnt android studio, LaTex software, Dialog Flow, Adobe XD and Firebase Database, Along with various technologiesandAPI’susedinthemobile application. The study ofimplementationofvariousmodules involved in medicine Locator was planned based on its UI/UX part. Detailed study of the database was carried out and the basic implementation of divided modules was tried. Medicine database was created, Pharmacy data was added. Further enhancements were made based on the sterilized search rate and the application overall size was reduced significantly using Fragments. Chat bot was trained according to the requirements of our medicine locator application, and the database was created to save the user details. Datasets that are to be used in the searching of the medicine, the users login/sign and Sentiment Analysis. REFERENCES [1] A. NithyaKalyani, S. Ushasukhanya, T. Nagamalleswari, and S. Girija ”Rating prediction using textual reviews”, in Journal of Physics (2018) [2] X. Fang and J. Zhan, “Sentiment analysis using product review data”, (2015) [3] R. Smith, in Document Analysis and Recognition, “An overview of the tesseract ocr engine,” Ninth International Conference (2007) [4] Jiawen Liu, Mantosh Kumar Sarkar and Goutam Chakraborty, “Feature based Sentiment AnalysisonAndroid App Reviews Using SAS® Text Miner and SAS® Sentiment Analysis Studio” Conference: SAS Global Forum, At San Francisco, CA [5] R. Jenitha Sri* and P. Ajitha “Survey of product reviews using sentiment analysis”, Indian Journal of Science and Technology, (June 2016) [6] Narayanan V., Arora I., Bhatia A., “Fast and accurate sentiment classification using an enhanced naive bayes model”, Intelligent Data Engineering and Automated Learning – IDEAL (2013) 4. CONCLUSION
Download now