PopularMajor Project
Artificial Intelligence
Face Recognition Attendance System
Camera-based attendance with liveness detection and analytics
- Python
- OpenCV
- FaceNet
- Flask
- +2
₹4,900₹5,999
4.8/301 reviews
Artificial Intelligence · Major Project
Healthcare Chatbot with Diet Planner
Conversational symptom checker that also builds a weekly meal plan
3-4 weeks build
Overview
A chat assistant that extracts symptoms from free text, maps them to likely conditions with a trained classifier, and hands off to a diet planner that respects allergies and preferences. It is an academic prototype that always recommends seeing a doctor, and every suggestion shows which symptoms drove it.
What makes it stand up
- 01Symptom extraction from natural-language messages with synonym handling
- 02Disease classifier trained on a public symptom-disease dataset
- 03Diet planner that filters meals by allergy, cuisine and calorie target
- 04Guard-railed replies that flag red-flag symptoms and refer to a doctor
- 05Framed as a screening and learning prototype, not a diagnostic tool
Module breakdown
- 01
Dialogue manager
Intent detection, slot filling and follow-up questions.
- 02
Symptom parser
Keyword and embedding matching against a symptom vocabulary.
- 03
Prediction engine
Multi-class classifier with top-k conditions and confidence.
- 04
Diet planner
Rule-based meal selection from a nutrition table per goal.
- 05
Chat interface
React chat UI with history, disclaimers and plan export.
After this, you will be able to
- Explain how intent detection and slot filling structure a conversation
- Defend your safety guard rails and referral wording in a viva
- Demo a full chat from symptoms to a printable diet plan
Technology stack
- Python
- LangChain
- scikit-learn
- FastAPI
- React
- MongoDB
- Level
- Major Project
- Domain
- Artificial Intelligence
- Build time
- 3-4 weeks
- Difficulty
You receive
- Complete, commented source code
- 60-90 page project report (IEEE format)
- Editable presentation deck
- Architecture, ER and UML diagrams
- Local setup and deployment guide
- Sample dataset or seed data
- Viva question bank with answers
- One 45-minute walkthrough call
- 30 days of doubt-clearing support