I've built machine learning and web projects spanning handwritten equation solving, image processing, music streaming, and responsive restaurant platforms.
During my Machine Learning & AI training with Teachnook and IIT Roorkee, I engineered KNN and PCA models that reached 94% classification accuracy. I also helped reduce data noise by 20% through feature engineering and integrated OpenCV for image prediction, improving system throughput by 15%.
For a handwritten mathematical equation solver, I created an image-processing pipeline using Python, OpenCV, and Scikit-learn that achieved 92% precision in symbol extraction. I improved character recognition by 25% through PCA-based dimensionality reduction and KNN.
I've also developed React, Tailwind CSS, Node.js, Bootstrap, HTML, and CSS projects, with a focus on responsive interfaces, real-time interactions, and frontend performance. I enjoy competitive programming, graphic design, and reading technical blogs.
