IT undergraduate focused on MERN Stack, Data Structures & Algorithms, and Machine Learning.

github

Anushree Bhattacharya  • Peerlist

🔷 Rock Paper Scissors Game | JavaScript, HTML, CSS A fun and interactive Rock Paper Scissors game built using vanilla JavaScript, styled with HTML and CSS. 🔹 Features: User vs Computer gameplay Random choice generator for the computer Real-time score updates Win/lose/draw outcome detection Responsive and clean UI Option to restart the game 🛠️ Technologies Used: HTML for structure CSS for styling and layout JavaScript for game logic and interactivity 💡 What I Learned: Conditional logic & control flow in JavaScript DOM manipulation & event handling UI feedback and user experience design Game state management in small applications 📁 GitHub Repo:https://github.com/anushreebhattacharya/Rock-paper-scissors

Rock Paper Scissor

Built a sleek and responsive weather forecasting website using HTML, CSS, and JavaScript. Integrated with the OpenWeatherMap API to fetch real-time weather data including temperature, weather conditions, and location info. The UI updates dynamically based on user input for cities around the world. Designed to be beginner-friendly and API-integrated for hands-on learning. Key Features: Live weather search by city name 🌍 Real-time temperature, weather icon, and location display Clean and user-friendly UI with responsive design Powered by OpenWeatherMap API Tech Stack: HTML, CSS, JavaScript, REST APIs 🔗https://github.com/anushreebhattacharya/Weather-Website/blob/main/script.js

Weather Forecast Web Application

🎮 Tic Tac Toe Game | JavaScript, HTML, CSS A classic two-player Tic Tac Toe game built using web development technologies — fully interactive and responsive. 🔹 Features: Simple and clean user interface Real-time turn switching Win/tie detection logic Option to restart the game 💡 What I Learned: DOM manipulation using JavaScript Implementing game logic and condition checking Handling user input and UI feedback Structuring reusable code for small projects 📁 GitHub Repository: https://github.com/anushreebhattacharya/Tic-Tac-Toe

Tic Tac Toe Game

Developed a Machine Learning–based Email Spam Detection system that classifies messages as Spam or Not Spam using Natural Language Processing techniques. The model was trained on a Kaggle email dataset using the Naive Bayes algorithm with text feature extraction. An interactive web application was built using Streamlit to allow users to enter messages and get real-time predictions. This project demonstrates the complete ML workflow including data preprocessing, model training, evaluation, and deployment.

Email Spam Detection

Developed a secure and scalable User Authentication System using the MERN stack that allows users to register, log in, and access protected resources. The system implements JWT-based authentication, password encryption, and role-based access control to ensure data security and proper authorization. Designed with a clean REST API architecture and responsive frontend UI.