Sanju Raj

Welcome to the next generation of web design with our modern and visually stunning landing page, meticulously crafted using Angular. Perfectly blending aesthetics with functionality, our landing page offers an exceptional user experience that captures attention and drives engagement.

Discover the ultimate destination for all your tech shopping needs at GET GOOD. Our e-commerce platform is designed to provide a seamless and enjoyable shopping experience, offering a wide range of the latest tech gadgets, accessories, and more. Whether you’re a tech enthusiast, a professional, or someone looking for the perfect gift, GET GOOD has everything you need.

AI Roadmap Generator is an innovative tool powered by Groq AI's large language model (LLM) that helps users create personalized learning paths in artificial intelligence. By analyzing user preferences and goals, it generates a tailored roadmap, guiding you step-by-step through relevant AI topics, resources, and projects to enhance your skills and knowledge.

Development of an inventory management system based on Spring Boot microservices with OAuth2 and Keycloak for authentication, Spring Security for security, Apache Kafka for messaging, Docker for containerization and test containers for integration tests.

Sents is a personal finance management application developed with React.js and Spring Boot. Users can manage their financial portfolio, capture investment data, and generate detailed cash flow reports. The application offers a clear user interface and secure registration and login systems. AI-based features for portfolio optimization and real-time market analysis are planned for the future.

Step into the future of cryptocurrency analysis with Crypto Expert, your ultimate tool for navigating the dynamic world of digital currencies. Our cutting-edge platform offers real-time market statistics, powered by advanced LSTM models, and keeps you updated with the latest trending news. Stay ahead of the curve with Crypto Expert, where data meets innovation.

Built a machine learning model to classify loan applicants as low or high credit risk using historical loan data engineered features from categorical data like loan purpose, grade, and home ownership trained a Random Forest Classifier with preprocessing (encoding + normalization) and achieved high accuracy