Developed a responsive web application enabling blood donors to donate, view history, and request blood. Admins efficiently process requests. Designed a consistent and intuitive frontend UI using HTML, CSS, JavaScript, AJAX, and jQuery for seamless user engagement across platforms. Integrated backend APIs using Flask and Node.js with MySQL to streamline workflows. Enhanced system response by 20% through database query optimization.
Developed "Crop Disease Prediction" with 95% accuracy using CNN to classify plant leaf conditions into three categories: healthy, rust, and powdery mildew. Designed a dynamic UI with Streamlit, reducing data visualization response time by 25%.
EduGrader is a web-based automated grading application utilizing Python Flask and MySQL. Leveraging the Gemini API for AI-powered grading, it provides instant feedback for students and enhances exam preparation. Handles up to 500 concurrent users with an average response time of 1 second per query.
Created a customer purchasing dataset and applied K-Means clustering to segment behavior patterns, achieving a 30% improvement in clustering accuracy. Designed a dynamic UI with Streamlit, enhancing real-time insights and user experience.
Designed an interactive Power BI dashboard to analyze 2014 and 2019 Loksabha election data. Leveraged Power BI’s Power Query to create intuitive visualizations, improving data storytelling by 20%.