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levisstrauss / Advanced-Food-Classification-System-EfficientNetB2

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Computer vision project that classifies 101 food categories with 80.2% accuracy using fine-tuned EfficientNetB2 and PyTorch. Features interactive Gradio UI, optimized inference (~100ms/image), and strategic training on 20% of Food101 dataset for efficient resource utilization.

python machine-learning computer-vision deep-learning pytorch image-recognition food-classification convolutional-neural-networks transfer-learning gradio inference-optimization efficientnet interactive-ui model-optimization deployment-ready
  • Updated Aug 6, 2025
  • Python

K28night / Healthcare-Booking-App-React-Springboot

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This Appointment Booking System is a full-stack web application designed to simplify the process of booking, managing, and tracking appointments between patients and health centers. Built using React.js on the frontend and Spring Boot on the backend, the system provides a seamless interface for users to select time slots, view appointment statuses

responsive-design custom-styling project-structure component-reusability deployment-ready user-interaction-and-accessibility routing-with-react-router react-and-vite-setup appointment-booking-flow hooks-in-action backend-api-integration-for-real-time-bookings
  • Updated Jul 29, 2025
  • JavaScript

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