DotComDoctor

An AI Based Disease Prediction ChatBot

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Team Members:
Jaideep Singh: 18103005
Nishant Puri: 18103019
Nikhil Shaji Kunnathu: 18103109

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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

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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

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Screenshots:

To Be Added.

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Usage:

To Be Added.

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Timeline :

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 - Now:
Development Phase III

• We are completing our NLP Learning part
• We're now picking up the Map API Part and are using HereMaps for the same
• We now need to focus on improving the Look and Feel of the same

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