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.

An app to search nearby businesses on Google Maps & Add Grocery Items to List!

It is a Steganography Project created for IBM Skills Build Internship with collaboration with Edunet and AICTE. You can hide text in images as well as wave audio using key and similarly you and decrypt the images and audio file to see the hidden text in it.

"An AI-powered Regression-based Mental Fitness Tracker that leverages advanced algorithms to monitor and support mental well-being, providing personalized insights and recommendations for stress management and self-care."

AWS Academy Cloud Virtual Internship

This internship is provided by AICTE, GOOGLE ANDROID, and Ed-create. The main objective of this internship is to provide the students with the knowledge and skills in the Android app development domain. This internship provides two online courses at Google Developer.

Exploring the world of python programming with vaultofcodes

Movie Review Sentiment Analysis with ML

A security tool to hide AES-256 encrypted messages in images using LSB steganography and a Streamlit UI.

Week 1 Task of Exhaustive analysis of Indian Agriculture using Power BI.

Fashion blog Technology used azure static web app . Please check the readme file for azure static web app link. OR CHECK THIS LINK https://salmon-bay-0903f5910.1.azurestaticapps.net/

🔐 StegnoX - Secure Image Steganography Tool StegnoX is a lightweight and user-friendly tool for hiding and extracting secret data within images using advanced steganography techniques.

AICT Internships supported by AWS Eduskills

ML-powered system to predict disease outbreaks like Heart Disease, Diabetes, and Parkinson’s using health and environmental data.

Microsoft Internship Program: During this Internship, I have worked on projects related to some of the machine learning algorithms. And deployed the model using Microsoft Azure.