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Year
2025
Tech & Technique
Next.js, Flask, MongoDB, Scikit-learn, Pandas, Tailwind CSS
Description
A capstone project booking platform that integrates a Machine Learning recommendation engine to suggest hotels based on tourist preferences for the World Cup 2030.
Key Features:
Key Features:
- 🤖 ML Recommendation Engine: Powered by TF-IDF and Nearest Neighbors algorithm
- 🛠️ Full Admin Suite: Complete CRUD functionality for hotel management and reservation systems
- 📦 Scalable Backend: Asynchronous search APIs and MongoDB database integration
My Role
Machine Learning & Full-Stack Developer
- ✅ Researched, designed, and deployed the TF-IDF hotel recommendation engine
- ✅ Built the Next.js frontend and Flask REST API endpoints
- ✅ Configured MongoDB data pipelines and model integration