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AI Healthcare Bot System using Python

Real-world project · AICTE-aligned · AI-graded · Audit-ready certificate

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About this project

AI Healthcare Bot System using Python

Objective: Build an AI-powered healthcare chatbot system in Python for user symptom assessment and guidance.

Context: Access to reliable health information is a challenge in India, where AI-driven tools can help bridge gaps in healthcare delivery and reduce misinformation.

What you'll build: You'll design a user interaction flow, integrate NLP models using NLTK/spaCy, connect to medical datasets like Symptoma, and develop a web interface with Flask. Machine learning will enable symptom analysis and response generation, with full frontend/backend deployment.

Deliverables: Working healthcare bot system, web interface, and a final deployment report.

Milestones

No deliverable required for this milestone.

2. Design user interaction flow

10 marks 6d

Create a detailed user interaction flow diagram for the healthcare bot, showing step-by-step conversation paths for common user queries (e.g., symptom checking, appointment booking). Submit a clearly labeled flowchart (PDF or image) and a brief explanation of each decision point. 'Done' means your flow covers all main user intents and transitions logically.

3. Integrate NLP model

10 marks 6d

Integrate a Python-based NLP model capable of understanding and extracting intent from user health-related queries. Submit your code with sample input/output demonstrating intent recognition and entity extraction for at least three healthcare scenarios. 'Done' means the bot correctly interprets user messages and identifies relevant medical information.

4. Connect to health database

10 marks 6d

Connect your bot backend to a sample health database (e.g., SQLite or CSV) containing patient or medical information. Submit code and a short demo (screenshots or video) showing the bot retrieving and displaying relevant data in response to user queries. 'Done' means the bot can access and return accurate health data based on user input.

5. Develop frontend/backend

10 marks 6d

Develop both frontend (user-facing chat interface) and backend (server logic) components for the bot using Python frameworks. Submit your source code and screenshots showing a user interacting with the bot through the interface. 'Done' means users can send messages, receive responses, and the system handles requests end-to-end.

6. Final testing and deployment

10 marks 6d

Conduct comprehensive testing of your AI healthcare bot, including edge cases and error handling, then deploy it to a local or cloud environment. Submit a test report (with test cases and results) and deployment instructions or link. 'Done' means the bot operates reliably in real-world scenarios and is accessible for demonstration.

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Upcoming sessions

Session	Window	Enrolled
AI Healthcare Bot System using Python	11 Jun 2026 to 10 Jun 2028	0

Skills you'll learn

Natural Language Processing (NLP)Machine LearningPython programmingFlask/Django for web interface

Tools used

PythonNLTK/spaCyFlask Medical datasets (like Symptoma)

Prerequisites

Basics of Python NLP libraries like NLTK/spaCy Understanding of chatbot flow

Available mentors

Priyang Kumar

Free

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AI Healthcare Bot System using Python

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AI Healthcare Bot System using Python

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