Latest Project
Handloom/Powerloom Prediction Model
This AI-powered project addresses the real-world challenge of differentiating between handloom and powerloom fabrics using image classification and machine learning techniques. By training a custom deep learning model, the system can analyze texture and weave patterns to accurately classify fabric types, supporting ethical consumerism and promoting traditional weaving communities. Built for deployment on embedded systems like Raspberry Pi, this lightweight solution combines computer vision, agriculture-centric impact, and on-field usability.
AgroNeurons VAJRA
AgroNeurons VAJRA is a visionary initiative that integrates drone technology, AI-based fruit counting, pest detection, and IoT-driven monitoring to revolutionize precision agriculture. Designed to assist farmers in orchard management, the system offers real-time insights into crop health, fruit yield estimation, and pest infestations. Data is transmitted through an intuitive dashboard, empowering farmers with actionable intelligence. This project reflects my commitment to sustainable agri-tech solutions that leverage AI, computer vision, and real-time analytics for smarter farming.