My Work

A collection of projects where I've turned ideas into reality.

Bingflix - Movie Recommendation System

An intelligent movie recommendation system that leverages machine learning to provide personalized suggestions based on user ratings and collaborative filtering techniques.

Key Features:

  • ML model for content-based recommendations.
  • Clean, interactive web interface for user interaction.
  • Scalable architecture built for handling new data.

Python • Flask • Scikit-learn • Pandas • HTML/CSS

Full-Stack Fitness Tracker

A comprehensive fitness application designed to help users track workouts, monitor progress, and visualize their health data through an intuitive dashboard.

Key Features:

  • Secure user authentication and data management.
  • Dynamic data visualization with Chart.js.
  • Full CRUD functionality for workout logging.

Angular • Spring Boot • MySQL • Chart.js

Vehicle Insurance MLOps Project

An end-to-end Machine Learning Operations project that automates the entire ML lifecycle, from data ingestion and model training to deployment and monitoring.

Key Features:

  • CI/CD pipeline for automated training and deployment.
  • Experiment tracking and model versioning.
  • Deployed as a scalable API for real-world use.

MLOps • CI/CD • Python • Scikit-learn • Docker

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