See result of KNIT Sultanpur college with more convenient way.

This is an unofficial website project for AKTU University for books, notes, and other resources.

Telegram bot to scrape latest aktu circulars to channel. This bot is hosted on google sheets and uses google sheets as a database to store the scraped data.

A web scraper to get AKTU University results of all students of Meerut Institute of Engineering and Technology

This is a frontend project that is made to help students. It contains semester books, notes and programming books. If you have any good learning material then feel free to share with us.

The Repo to store source code for My AKTU Guide: An Educational Website

Skip the queue use automation tool 🎢

This project is a mock system for choice filling and saving options used in CSAB and AKTU counselling. It also allows users to check last year’s cutoffs to make more informed decisions.

Revolutionize Your Data Security Multi-Layered Steganography & Encryption Experience next-generation protection: from secure folder zipping and AES encryption, to DCT-based steganography and quantum encryption. Stegno ensures your sensitive data is hidden, encrypted, and transmitted with the highest level of security.

Revolutionize Your Data Security Multi-Layered Steganography & Encryption Experience next-generation protection: from secure folder zipping and AES encryption, to DCT-based steganography and quantum encryption. Stegno ensures your sensitive data is hidden, encrypted, and transmitted with the highest level of security.

A python tool to get result from csjmu result webpage and save pdf automatically

Stegno-cli

This is the Django backend for the Steg-Pro project. It provides API endpoints for embedding and extracting files using steganography techniques.

Class Project - WebDev is a beginner-friendly platform for AKTU Sem 3. Lab work , showcasing HTML, CSS, and JavaScript basics with interactivity. Ideal for practicing fundamental web development skills.

Vartalaap- Real-time messaging app is a web-based application developed using MERN technology along with Firebase and Pusher. This application provides a platform for users to interact with each other.

College Predictor

StegVid uses steganography to embed digital watermarks in videos, enabling real-time monitoring and analysis to detect and prevent viral content. This innovative approach ensures a safer digital environment by flagging harmful or unauthorized videos, empowering content creators and platforms to control viral spread effectively.