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The AQI Predictor is an innovative web application The project's core mission is to forecast future Air Quality Index (AQI) trends by analyzing historical data, providing users with valuable insights into upcoming air quality.
Predictive AQI Forecasting: Utilizes historical data to generate future AQI trend forecasts. Users can select a city and prediction frequency to see a visual plot of expected air quality.
User-Friendly Interface: Designed for ease of use, allowing users to quickly access and understand air quality data.
Data Visualization: Presents AQI trends and real-time data in an intuitive graphical format, making it easy to interpret air quality changes over time.
JavaScript
tailwindcss
React
GSAP
Chart.js
Node.js
Express.jsA web application designed to digitize and empower women's Self-Help Groups (SHGs) by replacing fragile paper-based systems. It provides real-time transparency, secure mobile-first management for leaders, and powerful oversight dashboards for community officers.
Total Transparency: Members can see their savings and loan status anytime, from anywhere.
Streamlined Leadership: Leaders can manage meetings, records, and transactions—all from their phones.
Oversight Tools: Block Officers get a powerful dashboard with real-time SHG analytics to monitor progress and provide support.
NextjsNode js
Redis
MongoDBTailwind CSS
Prisma
TypeScript
Framer MotionReactA personal portfolio website showcasing my skills, projects, and experiences as a Full Stack Developer. It features a modern design, interactive elements, and responsive layout for an engaging user experience.
Built with Next.js and TypeScript for performance and scalability.
Investor behavior analysis and interaction patterns.
Market trend insights and competitive analysis.
Responsive design for seamless viewing on all devices.
Interactive elements for engaging user experience.
Next.jsTailwind CSSTypeScriptFramer MotionReactmongoDB
