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₹299
Collaborative Movie Recommender
Recommendation engine using cosine similarity and matrix factorization on the MovieLens dataset.
Our engineering team is completing final IEEE Black Book documentation and 1-click test runs. Pre-book now to lock in 50% early bird pricing (₹299) and receive immediate download access via WhatsApp & Email when ready.
This project figures out exactly what movie you should watch next. Instead of basic genre filtering, it uses collaborative filtering to find users with similar tastes to you, and recommends the hidden gems that they loved.
Why is this project unique?
• It completely automates manual workflows.
• It provides a beautiful, clean interface that anyone can use immediately.
• It is built with standard tools, making it very easy to defend in a Viva evaluation.
Complete, tested project code with run.bat (Windows) and run.sh (Mac/Linux). Double-click to launch — no manual setup required.
30+-page Word document formatted to university standards. Print, bind, and submit — includes Literature Survey, System Architecture, UML Diagrams, Output Screenshots, Future Scope.
15–20 professionally designed slides with exact speaker notes — we tell you word-for-word what to say to the examiner.
After downloading, follow these steps to get running in under 5 minutes on any computer.
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View KitWorking Source Code
1-click launcher included
30+-Page IEEE Black Book
Print-ready .docx format
Viva Defense PPT
Speaker notes included
25 Viva Q&A Answers
Examiner-tested questions
Priority Drop Delivery
Emailed on launch
Extract the ZIP
Run on Windows
run.batRun on Mac / Linux
bash run.shOpen in Browser
http://localhost:3000Prepare for Viva
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