Movie Recommendation System
Content-based and collaborative filtering recommendations with an interactive Streamlit explorer.
What it does
Browse movies, get similar-title recommendations, and compare content-based vs collaborative approaches. A staple ML project with clear evaluation talk tracks (precision/recall, cold start) for viva.
Features
- ✓Search movies and view similar recommendations
- ✓Toggle content-based vs collaborative modes
- ✓Explain why a title was recommended
- ✓Simple evaluation charts for the report demo
What's included
- ✓Full working Streamlit application
- ✓8-chapter Word report
- ✓14-slide presentation deck
- ✓Viva question bank + cheat sheet
- ✓Sample movies dataset
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 I use a different domain (books/songs)?+
Yes — swap the dataset columns and retrain similarity; the pipeline stays the same.
Is this deep learning?+
Base kit uses classical recommenders; you can discuss neural CF as future work.
Guides for this kit
Viva prep and architecture notes that match this project.
- Architecture
Three AI project patterns: RAG, text-to-code, and extract-score-generate
Not every AI final-year project should be a chatbot. When to use RAG, text-to-code, or extract-score-generate — and how each defends in viva.
- Guides
Top 10 final year project ideas that work on a laptop (no GPU)
Ten final year project ideas that run on an ordinary student laptop with no CUDA: classical ML, MERN and Flutter, with honest notes on what needs internet.
- Architecture
Why Streamlit is the best demo stack for AI final year projects
React takes weeks; Streamlit gets a RAG or analytics demo in front of examiners in days. Sidebar, session state, and citations for viva polish.