Source code for AICTE's work done by Team Extrapolate (winner@SIH'17) during 2017-2018
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Updated
Nov 28, 2018 - HTML
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
Institution's Innovation Council (IIC) 8.0: 2025 - 2026
đź”’ Secure data hiding in images using steganography | AICTE IBM Cyber Security Internship
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.
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! ✨
Implementation of Chatbot using NLP Technologies
This is the repository of Machine Learning Internship I have done with CareerLauncher endorsed by AICTE and Intel Partnership
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