College FAQ Chatbot
A campus FAQ chatbot over admissions, fees, and exam rules — RAG or intent-based, viva-ready.
What it does
Students ask campus questions in plain English; the bot retrieves answers from an FAQ knowledge base with citations. Ideal if your college wants an 'institutional chatbot' theme without building a full LMS.
Features
- ✓FAQ knowledge base with category tags
- ✓Semantic retrieval + LLM answer phrasing
- ✓Cited source FAQ entry for every answer
- ✓Admin view to add/edit FAQ entries
What's included
- ✓Full working Streamlit application
- ✓8-chapter Word report
- ✓14-slide presentation deck
- ✓Viva question bank + cheat sheet
- ✓Starter FAQ corpus you can rewrite for your college
Pricing
Same pricing tiers across every project kit.
A freelancer would charge ₹10,000–₹20,000 for the same project. Our kits start at ₹1,499 and are delivered in hours — not weeks.
Starter
The working application, ready to run and demonstrate.
- ✓Full source code
- ✓Setup & run instructions
- ✓requirements.txt / package.json
- ✓Runs on your machine in under 10 min
Standard
Submit-ready — full academic report and presentation included.
- ✓Everything in Starter
- ✓8-chapter Word report
- ✓14-slide presentation deck
- ✓Architecture & flow diagrams
Complete
Everything to submit AND confidently defend your project.
- ✓Everything in Standard
- ✓Viva Q&A bank + cheat sheet
- ✓Customized to your name & college
- ✓WhatsApp support until submission
Satisfaction guarantee
Not happy with what you receive? Message us within 24 hours and we'll either fix it or refund you — no questions asked.
Questions about this project
Can we use our college's real FAQ PDF?+
Yes — replace the corpus and rebuild the index with the included script.
Does it need the internet?+
Embedding can be local; LLM calls need an API key unless you swap in a local model.
Guides for this kit
Viva prep and architecture notes that match this project.
- Architecture
How RAG (Retrieval-Augmented Generation) actually works
A plain-English breakdown of chunking, embeddings, and vector search — and exactly why it stops generative AI from making things up in your project.
- Viva Prep
20 viva questions every RAG project should be ready for
The top 20 questions examiners actually ask about retrieval-based AI projects during final year project vivas, and how to answer them with confidence.
- Guides
Top 10 AI/ML final year project ideas for 2026
Ten AI/ML final year project ideas with stack, demo plan, and the question examiners ask — plus how to pick one you can actually finish and defend.