Saravanapriyaa CR

I’m an 18-year-old computer science enthusiast passionate about solving real-world problems through scalable algorithms and system-level programming. My interests span across data structures and algorithms, embedded systems, and real-time operating systems.

One of my key projects is a Movie Recommendation System built using C++ and MapReduce, designed to handle large datasets from CSV files without relying on traditional databases. The system provides multi-level recommendations based on watch history, collaborative filtering, genre trends, and surprise elements. This project allowed me to explore data analytics, algorithm scalability, and real-time filtering in a performance-focused environment.

Alongside this, I’ve worked on a FreeRTOS-based train simulation using the Arduino IDE, implementing multitasking with semaphores, mutexes, queues, and message buffers. This gave me hands-on experience with concurrent task scheduling, inter-process communication, and resource synchronization in embedded systems.

With a strong foundation in core algorithmic paradigms like dynamic programming, greedy algorithms, and graph theory, I aim to build systems that are both efficient and scalable. I enjoy bridging low-level control with high-level intelligence—whether it's through real-time simulations or big data analysis—and I'm excited to bring that to this hackathon.