Projects

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Bookify: An Online Book Store Website   []

  • Developed a website using the MERN stack (MongoDB, Express.js, React, Node.js)
  • Implemented a secure login and registration system using Firebase for user authentication
  • Developed a user-friendly platform with features such as adding to cart, checkout, searching and filtering books, and a user review system
  • Implemented an admin dashboard for adding, deleting, and managing books

DoctorSpot: A Doctor Suggesting and Disease Predicting Website   []

  • Developed a website using HTML, CSS, Bootstrap, JavaScript, MySQL, and PHP
  • Introduced a smart chatbot integrating OpenAI API for predicting diseases from the symptoms of users
  • Developed a convenient platform with features like doctor reviews, filtering, and appointment scheduling
  • Implemented a user dashboard for managing appointments

Medulance: An Emergency Ambulance Service Providing App   []

  • Created a user-friendly mobile app using Flutter for quick access to emergency ambulance services
  • Implemented real-time ambulance location tracking using Google APIs
  • Added SOS functionality for instant location sharing during emergencies
  • Integrated Firebase for secure login and user authentication

Aspirants: A University Finder App   []

  • Developed a Java application for finding universities for higher studies
  • Implemented features like university filtering, profile building, and acceptance probability assessment
  • Utilized Java Swing for the UI and MySQL with XAMPP for database management

WindWhisper: An App for Bird Species Classification   []

  • Developed a bird species classifier integrating advanced machine learning into a user-friendly app
  • Utilized Flutter and a fine-tuned CNN model for species identification
  • Managed data preparation and preprocessing for accurate results

CheckSPAM: An Email Spam Detection WebApp   []

  • Developed a desktop app for email spam classification using advanced machine learning algorithms
  • Utilized the Multinomial Naive Bayes model for superior spam detection accuracy
  • Conducted thorough data preprocessing, including text cleaning and feature extraction