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Artificial Intelligence · Major Project
AI Career Guidance Chatbot
Recommends career paths from a student's skills and interests
3-4 weeks build
Overview
A conversational adviser that interviews a student about subjects, skills and interests, then suggests career paths with the reasons behind each. The OpenAI API handles the conversation, but recommendations are grounded in a structured roles catalogue so the model explains real options instead of inventing them, and every suggestion links to a learning roadmap.
What makes it stand up
- 01Guided profiling conversation that builds a structured skills profile
- 02Recommendations grounded in a curated roles catalogue
- 03Each suggestion explains which skills and interests it matched
- 04Personalised learning roadmap with courses and milestones
- 05Prompt and guardrail design documented in the report
Module breakdown
- 01
Profiling
Question flow that extracts skills, interests and goals as JSON.
- 02
Roles catalogue
Career paths with required skills and entry routes.
- 03
Matching
Scores roles against the profile before the model explains them.
- 04
Roadmaps
Generates step-by-step plans tied to each recommended role.
- 05
Web app
Chat interface, saved sessions and a PDF summary export.
After this, you will be able to
- Explain why grounding reduces made-up recommendations
- Defend your prompt design and its safety boundaries
- Demo a full guidance session from profile to roadmap
Technology stack
- Python
- FastAPI
- OpenAI API
- Next.js
- 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