Projects

Trading Engine

The trading engine project simulated a stock trading platform, utilizing Java, Spring Rest, Message Queues, and Angular to validate trade orders and enable buy/sell transactions through REST requests. This system integrated Message Queues and Kafka to receive real-time market feed data and subscriptions. The combination of these technologies ensured seamless communication and provided users with an intuitive interface. This project served as a valuable learning experience, offering insights into the world of trading and system design.

Book Recommendation System

The Book Recommendation System was an exciting project that brought the power of AI to deliver tailored book suggestions. This system employed collaborative filtering techniques within a machine learning model, and it was built using essential libraries like NumPy, pandas, TensorFlow, and Sklearn. By analyzing users' preferences and reading history, it provided personalized book recommendations