Python Syllabus Website
An interactive and comprehensive Python syllabus website designed to guide beginners through core Python concepts. Features a structured curriculum from basic syntax to advanced topics like OOP and data structures, interactive code examples, and a user-friendly interface for easy navigation and learning. Perfect for self-paced study or as a supplementary resource for Python courses.
Tools:
HTML
CSS
JavaScript
Date: 2024
BTC Probo Predictor (Mobile Friendly)
This AI-powered application provides predictions for Probo BTC events, optimized for mobile use. It leverages real-time market data and technical analysis to recommend a "vote" (Yes/No) on Bitcoin price movements against a target price at a specific future time. Features include real-time data fetching from Binance API, technical indicator analysis (RSI, EMA), sentiment analysis integration, AI-powered prediction engine, interactive Plotly charts, and Telegram notifications for alerts. Designed with Streamlit and custom CSS for a responsive, mobile-friendly interface.
Tools:
Python
Streamlit
Plotly
Pandas
Binance API
Date: July 2025
Smart AgriTech Dashboard
Built a unified AI-powered AgriTech dashboard for real-time crop monitoring, sensor visualization, and crop advisory. Integrated Firebase Realtime Database to fetch and display live farm sensor data (moisture, pH, NPK, temperature, etc.). Trained a TimeDistributed ANN (TDANN) for soil moisture prediction using recent sensor trends and crop-type embeddings. Enabled AI-based growth forecasts and actionable crop care tips tailored to 20+ Indian crops like Wheat, Rice, Maize, Mango, etc. Designed multi-tab responsive UI with Plotly trend charts, prediction widgets, and condition-based crop suggestions. Secured Firebase credentials using base64-encoded keys for Render compatibility and seamless cloud deployment. Included fallback handling for missing data, intelligent sensor parsing, and advice logic for sustainable farming.
Tools:
Python
Streamlit
TensorFlow
Firebase
Plotly
Date: June 2025
MATHEMATICO - Special Mathematics Coaching Website
Developed a comprehensive, responsive website for a mathematics coaching center, featuring dynamic content management via Firebase Firestore for admin-controlled updates. Key features include an admin panel with secure Firebase authentication for CRUD operations on courses, books, problems, gallery, and blog posts. It also includes dynamic FAQ, user testimonials, Google Maps integration, and a theme toggle for dark/light mode, all built with a fully responsive design using Tailwind CSS for an optimal user experience across devices.
Tools:
HTML
CSS
JavaScript
Tailwind CSS
Firebase
Date: July 2025
Tournament Manager Full-Stack Web Application
Developed a comprehensive full-stack web application for managing diverse tournaments (e.g., Cricket, Football). Features include intuitive team registration, automated match scheduling, real-time score updates, and dynamic leaderboard tracking. Designed a user-friendly frontend with React.js and a robust backend using Node.js/Express.js, powered by MongoDB for data persistence, ensuring seamless data management and real-time responsiveness for various tournament formats.
Tools:
React.js
Node.js
Express.js
MongoDB
Date: May 2025
My Personal Portfolio Website
This is my personal portfolio website, meticulously designed and developed to showcase my skills, projects, and educational background. Built with a focus on modern web standards, responsive design, and an intuitive user experience. Features include a dynamic dark/light mode toggle, smooth scrolling navigation, animated section reveals on scroll, and an integrated contact form. This project serves as a direct demonstration of my proficiency in front-end development, responsive CSS styling (Tailwind CSS), and interactive JavaScript.
Tools:
HTML
CSS
Tailwind CSS
JavaScript
Date: 2024 (Ongoing)
Dream11 AI Team Predictor
An AI-powered web application for predicting optimal fantasy cricket teams (e.g., Dream11). Users can select players and leverage the integrated AI model to generate highly probable winning team combinations. The application features real-time data fetching for player statistics, a sophisticated predictive engine based on historical player performance and match conditions, and a user-friendly interface built with Streamlit for easy team building and analysis. Aimed at helping fantasy sports enthusiasts make data-driven decisions.
Tools:
Python
Streamlit
Pandas
Machine Learning
Date: 2024
Mystic Vision AI Standalone Chatbot
The 'Mystic Vision AI Standalone Chatbot' is an intuitive and engaging conversational AI application designed to offer insights and interactive dialogue. Developed using Python and Streamlit, this chatbot provides a seamless user experience, allowing users to ask questions and receive thoughtful, contextually relevant responses. It leverages advanced Natural Language Processing (NLP) techniques and AI models to understand diverse queries and simulate intelligent conversation. Its standalone nature ensures easy deployment and accessibility, making it a versatile tool for various interactive communication needs, all within a user-friendly web interface.
Tools:
Python
Streamlit
Natural Language Processing (NLP)
Machine Learning
Date: July 2024
Early Detection of Parkinson’s Disease Using ML
This team project focused on the early detection of Parkinson's Disease using machine learning techniques. It involved a collaborative effort of a 6-member team, where I contributed to resource gathering, programming code development, team management, presentation design, and research paper writing.
Tools:
Python
Scikit-learn
Pandas
Machine Learning
Date: 2023
Employee Management System Website
Developed a comprehensive Employee Management System Website with a team of 6 members. My roles included gathering resources, research on best practices, full-stack development using Node.js, React.js, and Firebase Firestore, deployment, and team coordination to ensure functionality and accessibility.
Tools:
Node.js
React.js
Firebase Firestore
HTML
CSS
Date: Jan 2024 - June 2024
Phishing URL Detection Using Machine Learning
This team project focused on applying machine learning to real-world problems for phishing URL detection. This project was recognized with a Best Paper Award (2nd National Conference, RAICCIT 2025).
Tools:
Python
TensorFlow
Scikit-learn
Machine Learning
Date: 2024
