Enthusiastic and detail-oriented B.Tech Computer Science graduate with a strong foundation in Python, Machine Learning, Web Development, and C++. Passionate about building data-driven solutions and developing scalable web applications. Eager to apply technical expertise and analytical thinking to real-world challenges in a dynamic environment.
Garbage classification using deep learning
Built a deep learning-based image classification model to automatically sort waste into six different categories. The system stores classification data in MongoDB, performs real-time analytics using Streamlit, and visualizes insights through a Power BI dashboard for efficient waste management and decision-making.
Traffic analysis using machine learning
Developed a machine learning model to analyze traffic patterns and predict congestion using historical and real-time data, improving traffic management and optimization.
E-learning website using HTML, CSS and JS
Designed and developed a responsive e-learning platform with interactive UI components, enabling users to access courses, price and contact information.