Harvard University
Successfully completed Harvard's CS50P course, demonstrating advanced proficiency in Python programming, data structures, algorithms, and software development practices.
Harvard University
Completed Harvard's intensive CS50AI course, mastering artificial intelligence fundamentals including search algorithms, knowledge representation, machine learning, neural networks, and natural language processing.
A comprehensive deep learning-powered web application for plant disease detection and diagnosis
Plant Doctor AI is a sophisticated web application that leverages ResNet18 deep learning architecture to identify plant diseases from leaf images with high accuracy.
Built using PyTorch for deep learning, Flask for backend, and modern HTML/CSS/JS for frontend. Trained on PlantVillage and PlantDoc datasets.
AI-powered predictions, Grad-CAM heatmap visualization, disease treatment recommendations, comprehensive disease database, and real-time analysis.
Successfully deployed on Render with custom domain (plantdrai.xyz), featuring responsive design and optimized performance.
Trained ResNet18 model capable of identifying 38+ plant disease classes with high confidence scores and visual explanations.
Provides farmers and gardeners with instant, accurate disease diagnosis, helping reduce crop losses and improve agricultural practices.