This project is a Streamlit application designed to perform image classification using two powerful machine learning models: MobileNetV2 and a custom CIFAR-10 model. The application allows users to upload images and receive predictions along with confidence scores.

Source code for AICTE's work done by Team Extrapolate (winner@SIH'17) during 2017-2018

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.

Machine Learning Internship | endorsed by AICTE and Intel Partnership

Implementation of Chatbot using NLP Technologies

List of AICTE approved colleges

AWS Academy Cloud Virtual Internship

Predict electric vehicle (EV) growth over 3 years using real-world data and machine learning. The model learns adoption patterns from historical EV data. Results are shown in an interactive Streamlit dashboard. Includes county-wise comparison, forecasts, and clean visualizations.

🔒 Secure data hiding in images using steganography | AICTE IBM Cyber Security Internship

a unified portal for AICTE-approved institutions to create, share, and update standardized model curricula efficiently.

I have this repo various project as task for internship

Recent Trends and Challenges in Artificial Intelligence, Machine Learning and Blockchain Technology

A dashboard that built during a hackathon conducted by AICTE! ✨

Deep Learning (AL 503(B)) - RGPV 5th Semester repo: notes, practicals, assignments, and a React UI deployed via GitHub Pages.

Institution's Innovation Council (IIC) 8.0: 2025 - 2026

Smart India Hackathon 2017

AICTE Task management Application

Data Analytics using Tableau