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Artificial Intelligence · Major Project
Mental Health Support Chatbot
Grounded conversational agent with sentiment tracking
3-4 weeks build
Overview
A retrieval-augmented chatbot for student wellbeing that tracks sentiment across a conversation, surfaces coping resources from a curated knowledge base, and escalates to human helpline details when risk signals appear.
What makes it stand up
- 01Retrieval-augmented answers grounded in a vetted corpus
- 02Per-message sentiment and mood-trend visualisation
- 03Rule-based crisis escalation with clear safety boundaries
- 04Journalling module with weekly wellbeing summaries
- 05Guardrail evaluation set with documented failure cases
Module breakdown
- 01
Knowledge base
Chunking, embedding and vector search.
- 02
Dialogue
Context window management and persona prompting.
- 03
Sentiment
Fine-tuned classifier with trend charts.
- 04
Safety
Risk-phrase detection and escalation flow.
- 05
Dashboard
Mood history, streaks and exportable journal.
After this, you will be able to
- Explain retrieval-augmented generation and why grounding matters
- Discuss the ethical limits of an assistive chatbot
- Present your guardrail evaluation results
Technology stack
- Python
- Transformers
- RAG
- FastAPI
- Next.js
- PostgreSQL
- Level
- Major Project
- Domain
- Artificial Intelligence
- Build time
- 3-4 weeks
- Difficulty
- Rating
- 4.8 / 5 · 143
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