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edunetfoundation

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AI-powered-Waste-Classification-System-using-deep-learning

AI-powered waste classification system using deep learning, Combines a custom CNN and EfficientNet (transfer learning). Achieves 99% training and 95% validation accuracy. Classifies images into cardboard, glass, metal, paper, plastic, and trash. Includes prediction, evaluation, and visualization tools.

  • Updated Feb 10, 2026
  • Jupyter Notebook

IBM-Intern-Secure-Data-Hiding-in-Image is a cutting-edge web application designed to protect your confidential information by securely encrypting and decrypting messages hidden within images. Leveraging advanced technologies such as HTML, CSS (Tailwind CSS), TypeScript, React, Vite, Python (Flask), Pillow and steganography.

  • Updated Feb 26, 2025
  • TypeScript

As part of an AICTE internship, this NLP-powered chatbot leverages Python, Streamlit, and Scikit-learn to answer cryptocurrency queries and fetch live prices for the top 20 coins using the CoinGecko API. Combining TF-IDF vectorization and Logistic Regression, it offers an interactive web interface for real-time crypto insights.

  • Updated Mar 28, 2025
  • Jupyter Notebook

This project showcases a secure method for hiding text in images using ASCII XOR with Python—developed for AICTE-Edunet IBM SkillsBuild Cybersecurity Internship 2025. Keeps images unchanged while securely embedding data, Perfect for learning core cybersecurity concepts and digital privacy techniques!

  • Updated Jun 27, 2025
  • Jupyter Notebook

This repository hosts a comprehensive Food Delivery web application developed using the MERN stack. It is designed to provide a seamless and efficient user experience, featuring secure user authentication, dynamic menu browsing, efficient order management, and a comprehensive admin dashboard for managing menu items, orders, and restaurants.

  • Updated Mar 2, 2025
  • TypeScript

IBM-Intern-Secure-Data-Hiding-in-Image is a cutting-edge web application designed to protect your confidential information by securely encrypting and decrypting messages hidden within images. Leveraging advanced technologies such as HTML, CSS, Python (Flask), Pillow and steganography.

  • Updated Feb 24, 2025
  • Python

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