Event-driven microservices system for real-time order processing using a choreography-based Saga pattern. Built with Java 17, Spring Boot, and Apache Kafka across four decoupled services — Order, Payment, Inventory, and Notification. Features Redis caching for inventory lookups, idempotent Kafka consumers, and a React dashboard for live order tracking.
Technologies: Java, Spring Boot, Kafka, PostgreSQL, Redis, Docker, React
An e-commerce web application which combines React, Spring Boot, and JWT for robust security and swift page loads. With a focus on a seamless user experience, it features a Tailwind CSS-designed interface for easy navigation, secure authentication, and efficient data management.
Technologies: React, Java, Spring Boot, MySQL, JWT, TailwindCSS
Production-oriented ML service that trains a Logistic Regression model on synthetic transactional data and serves real-time risk predictions via FastAPI. Supports single and batch scoring with sub-100ms latency and ~85% precision on test datasets. Fully containerized with Docker and CI/CD via GitHub Actions.
Technologies: Python, FastAPI, Scikit-learn, Pandas, Docker, GitHub Actions
A dynamic Stock Market Analysis application for accurate forecasting of stock prices for Amazon, Google, Microsoft, and IBM. Offers interactive graphs and predictions with a deep learning model, enhancing investment strategies through insightful analysis.
Technologies: Python, PyTorch, GRU, Scikit-learn, Plotly, Seaborn
A cutting-edge AI-driven image generation platform built on the MERN stack, seamlessly interprets user prompts through OpenAI's DALL-E model to create beautiful images. Image management is achieved using the Cloudinary platform.
Technologies: React, Node.js, Express.js, MongoDB, OpenAI, TailwindCSS, Cloudinary
Revolutionizes online banking for visually impaired users, integrating voice commands via Alexa and Google Assistant with AWS and GCP. Fortifies security by 50% through innovative voice and biometric authentication, alongside Morse code verification.
Technologies: Alexa, Google Assistant, AWS, GCP, Python, Java, Android Studio
Harnessing computer vision to enhance road safety through lane, pedestrian, and stop sign detection. Supports drowsy driver detection. Powered by Python, OpenCV, and NumPy — achieves 30 fps frame rate and 89% accuracy.
Technologies: Python, OpenCV, NumPy, Dlib
An advanced system designed to detect network attacks in real-time and prevent potential damage. By analyzing network packets and employing the National Vulnerability Database, it achieves 90% accuracy in threat identification.
Technologies: Python, Neural Networks, Wireshark, NVD, Flask