Object Recognition for AI-Powered Meal Planner
Developed and fine-tuned a Computer Vision model (DETR-ResNet50) to recognize multiple food ingredients from a single image for an AI-powered mobile app. The project's goal was to provide personalized meal plans and reduce food waste by identifying available ingredients. This required working with annotated image data to train the model for high-accuracy object recognition, demonstrating skills in applying advanced AI to create practical, user-centric applications.