AI
College FAQ Chatbot
NLP chatbot for campus FAQs.
Project overview
College FAQ Chatbot is a mentor-guided AI project designed for university submission. Rule-plus-intent chatbot answering admissions, fees, and timetable FAQs with a simple Streamlit UI. The build uses Python, NLP, Streamlit and is structured so you can explain architecture, modules, and test cases during viva. Typical delivery timeline is 4–6 weeks depending on package and college deadlines.
Best suited for: CSE / AI&DS students focusing on computer vision or NLP applications
Tech stack
Objectives
- Design and implement a working solution for “College FAQ Chatbot” aligned to academic evaluation criteria.
- Demonstrate core features such as Intent matching, FAQ KB, Chat UI.
- Produce documentation (synopsis, report chapters, and PPT) suitable for guide approval.
- Prepare viva-ready explanations for design choices, tech stack, and future enhancements.
Key modules
- Module: Intent matching
- Module: FAQ KB
- Module: Chat UI
- Documentation, deployment notes, and viva Q&A
Key features
- Intent matching
- FAQ KB
- Chat UI
- Fallback replies
Deliverables
- Source code
- Intents file
- Report
- PPT
Learning outcomes
- Runnable source code with setup guide
- University-style report draft
- Presentation deck (PPT)
- Mentor review checkpoints
