PawsTime is a full-stack web application which empowers veterinary practices with online appointment booking, secure logins, dedicated dashboards for both admins and pet owners, and AWS-powered CI/CD for reliable performance and scalability.

Developed interactive dashboard using Dash on Google Cloud to visualize sales trends, profitability, and customer behavior across regions. Optimized insights through PCA, outlier detection, feature engineering, and normality tests, enabling data-driven decision-making for retail operations.

A powerful web application built with Next.js and TypeScript that leverages the Gemini API for intelligent code translation. This tool uses advanced prompt engineering techniques to accurately convert code between different programming languages, streamlining development workflows and enhancing cross-language compatibility for developers.

Rising Indian is a non-profit organization located in Vadodara. This project aims at building an app which helps in volunteer registration for the organization. Features: Sign Up/Login, Upload Event, Like/Comment/Delete Event, Payment Gateway, Timeline, User Account.

Developed the system leveraging CNN and advanced feature extraction techniques (MFCC, ZCR, RMSE), achieving 92% accuracy in identifying emotions from real-time speech data, enhancing human-computer interaction capabilities.

Optimized the placement of electric vehicle charging stations in urban environments using K-means clustering and network analysis. Leveraged geospatial and traffic data to identify strategic locations, ensuring enhanced accessibility and sustainability for urban mobility.

Architected robust ML pipeline to forecast stock prices, achieving peak 95% classification accuracy. Excelled in data cleaning, preprocessing, visualization, regression, classification, clustering, association analysis, feature engineering, model selection, evaluation metrics, and statistical data analysis to ensure accurate predictions.

Imagine a music player that reads your mood! It analyzes your facial expressions (thanks to OpenCV!) and uses a powerful neural network (CNN) to predict your emotions. Feeling happy? Get ready for some upbeat tunes! Feeling stressed? Calming melodies await. This project showcases my expertise in computer vision, deep learning, and creating an interactive music experience.

The Face Mask Detection System is an advanced real-time application that utilizes TensorFlow and OpenCV to accurately detect whether individuals are wearing face masks. With high detection accuracy achieved through convolutional neural networks trained on a specialized COVID-19 dataset, this system integrates sensor data for enhanced responsiveness, making it ideal for deployment in public spaces to promote safety during the pandemic.

This Tableau dashboard offers a comprehensive analysis of Netflix content and viewing trends. It provides an overview of the content library, highlights trending shows and movies, and breaks down genre distribution. The dashboard also includes release year analysis and viewer ratings, giving users valuable insights into Netflix's content evolution and audience reception.