Team Members:
Jaideep Singh: 18103005
Nishant Puri: 18103019
Nikhil Shaji Kunnathu: 18103109
This Project has been created as a part of our
Artificial Intelligence (CSN-305),
Software Engineering (CSN-302),
Web Technologies (CSN-303)
Courses for the Academic Semester 202021
Note: We have followed an Agile approach (Kanban Method to be precise), and have conducted our sprints using Trello Boards
Here is the link to VIEW our Trello Board: DotComDoctor-Kanban Board
To Be Added.
To Be Added.
28 July, 2020 - 21 August, 2020:
Team Formation, Planning, and Project Finalisation
- We formed our 3 member Team for the Project
- We deliberated on various paradigms of AI that could be incorporated on a Web-Based Platform
- We came up with the idea of an AI Based ChatBot which could serve as some kind of Virtual Doctor
- Thus, we finalised our Project Summary
22 August, 2020 - 21 September, 2020:
Learning Phase I and Development Phase I
- Navigated through various Tech-Stacks
- Finalised as such:
- Website Front-End: HTML, CSS, JavaScript
- Website Hosting(Back-End): Flask, Heroku
- Machine Learning: Decision Tree Classifier, Natural Language Processing
- To achieve this Tech-Stack, we had to focus on a Learning Phase for these Technologies which proceeded through the given time
- At the end of this period we delivered the UML Class and UseCase Diagrams
21 September, 2020 - 30 September, 2020:
Learning Phase II
- Our main focus of this phase was to consolidate our Learnings and create a Planned Approach for our Project
- By the end of this phase we rejected some ideas (As shown in the Trello Board) and improved upon other ideas
- At the end of this period we delivered the UML Sequence, Activity, and State Chart Diagrams
1 October, 2020 - 15 October, 2020:
Learning Phase III and Development Phase II
- After consolidating our learnings from the previous phase, we noe started developing our Website
- We used 2 Machine Learning Models (Decision Tree Classifier and Random Forest Classifier) for classifying the diseases based on symptoms
- We created a Simple Flask Server for testing the Pickle Files
- Then we picked up NLP and Deep Learning(An Added Idea in Phase 2) to add o our Tech Stack
16 October, 2020 - 6 November, 2020:
Development Phase III
- Completed Basics of Learning and Using Maps API
- Solved Error of using multiple Features and Labels at once
- System (without NLP Model) is Complete now for Five Diseases, namely Dengue, Common Cold, Chicken Pox, Tuberculosis, Jaundice
7 November, 2020 - 19 November, 2020
Development Phase IV
- We are completed the Maps API with routes
- Using NLP to make the symptoms less scattered
- Working on our final presentation (including Look and Feel of the Final Web App)
The Project is now complete