Specialized in AI, Machine Learning, and Python Development
I'm a BTech CSE student with hands-on experience in Python development, machine learning, and web APIs. I've built and deployed multiple end-to-end ML projects involving real-world data, model deployment, and frontend-backend integration.
I'm passionate about solving real problems through intelligent systems and always looking for opportunities to apply AI/ML to create meaningful solutions.
Lovely Professional University — 2nd Year
Used Librosa to extract audio features and predict genres via Flask API. Handled MP3/WAV input formats and resolved backend deployment issues (CORS, NumPy compatibility).
Created a content-based recommender system in Python. Suggests similar movies based on title and genre correlations.
A real-time waste classification web application that identifies 9 types of waste using a custom-trained MobileNetV2 model. Features include real-time classification, confidence scores, and disposal tips.
A full-stack web app that recognizes handwritten digits with high accuracy. Users can draw a digit on a canvas or upload an image, and the app instantly predicts the digit and shows the model's confidence.
A fashion image classifier powered by a CNN trained on Fashion MNIST. Achieved ~91% accuracy, deployed with Flask, and features a clean frontend for easy testing and image uploads.
Sharing my thoughts and insights on AI, technology, and more. Check out my latest articles below.
Exploring how science fiction shapes our understanding of AI and comparing it with the reality of current AI technology. An analysis of misconceptions and the true nature of modern AI applications.
An in-depth analysis of Google's Veo 3 AI video generation model and its implications for creativity, reality, and the future of content creation.
Stay tuned for more articles on artificial intelligence, machine learning, and their applications in solving real-world problems.