To develop a machine learning-based model that predicts Body Mass Index (BMI) trends and analyzes the differences in BMI patterns before and after the COVID-19 pandemic.

All in one library resources. Built using Python, Django, SQLite.

A Python-based simulation of an automated toll collection system using FastTag-like technology.

This project focuses on deep-diving into startup investment data to uncover insights about funding patterns, popular industries, investor behavior investment trends.

A Flask-based web application for tracking student attendance, calculating attendance percentages, and providing alerts for students below the required threshold.

Data-Encoding-Visualiser is a web-based tool designed to provide interactive visualizations for encoding techniques such as Manchester, Differential Manchester, and more.

Build A Music Player using Spotify API and ReactJS. It has all the major features like play, pause, next, previous, shuffle and repeat.

Build A Project link website using ReactJS. It has all the major features like grid, sort.

Stock Tracker is application build using Streamlit and Stock API. It provides the feature to track stock prices.

Personal Portfolio Website. Don't Need Much Info About It, Just Scroll Down. You're Here Only!

Simple landing page website built using HTML, CSS, JavaScript and some JavaScript Libraries.

Basic food website landing page built using HTML, CSS, SASS, Bootstrap and jQuery.

Analyzes global cybersecurity threats, incidents, and trends. Personalized and Responsive using PowerBI.

Examines human resources data to uncover patterns in employee demographics, performance, and retention. Developed By Using Live PowerBI.

Focuses on revenue metrics within the hospitality industry. Identifies key factors influencing hotel revenue and occupancy rates. Using PowerBI.

Analyzes retail sales data to forecast trends and understand customer behavior. Utilizes time series analysis for accurate sales forecasting.

Sales analysis is the process of examining and evaluating sales data to gain insights into the performance of a company's products or services.

A hands-on project showcasing the core techniques of Exploratory Data Analysis (EDA) using Python, covering data cleaning, outlier detection, visualization, and feature exploration across multiple real-world datasets.

A visualization project that explores carbon emissions data from 2008 to 2024, providing insights into Indian carbon emission trends and patterns in carbon emissions over time.