AI-powered interview transcript analysis platform built with FastAPI, LangGraph, and Next.js 15. Transform interview transcripts into actionable insights using Claude AI with timeline extraction, entity recognition, and sentiment analysis.

A robust backend API for managing university classroom reservations, built with Python, Flask, SQLAlchemy, and Docker, ensuring efficient database interactions and seamless containerized deployment 🏫

A lightweight, scalable, and serverless API for real-time sentiment analysis. Built using Flask, NLTK's SentimentIntensityAnalyzer, and deployed on AWS Lambda with the Serverless Framework, it efficiently classifies text as positive, negative, or neutral.

Scalable social commerce backend with FastAPI, PostgreSQL, and ML-powered recommendations

VITAL: Versatile Intelligent Task Allocation for Latency-sensitive Healthcare. A scalable, fault-tolerant, and resource-efficient framework for dynamic task scheduling and resource allocation in latency-sensitive healthcare systems.

A lightweight backend for a ToDo application with RESTful APIs for task operations. Designed for simplicity and clarity with a scalable project structure for easy extension.

ELEC70126 Internet of Things and Applications - final project

A lightweight FastAPI skeleton for building secure, scalable REST APIs. Includes JWT-based authentication, Google Drive integration using OAuth2, and modular, clean architecture for rapid development.

Production-grade Apache Spark application for real estate analytics. Implements distributed ML (Linear Regression, Random Forest, GBT) with PySpark 3.5.5, processing 100K+ properties across major US cities.

Real-Time Insights into Transaction Activity with Scalable Streaming and Analysis.

Lab: Setting up a Multi-Container Architecture with Docker Compose