AI-Powered Periodic Table

Comprehensive interactive chemistry application featuring all 118 elements with detailed information including atomic properties, electron configurations, and physical characteristics. Integrated with Claude AI to provide intelligent compound analysis, chemical equation balancing, and reaction predictions. Users can explore element relationships, view orbital diagrams, and receive AI-generated explanations for complex chemical interactions. The application features a clean, responsive interface with search functionality, category filtering, and real-time data visualization. Built with vanilla JavaScript and modern CSS, demonstrating proficiency in DOM manipulation, API integration, and user experience design for educational technology platforms.

Mac Memory Toolkit

Professional memory management and system optimization toolkit for macOS. Shell utilities for monitoring, cleanup, and performance optimization on low-RAM systems (4-8GB).

Technical Implementation: Bash scripting, system-level APIs (vm_stat, sysctl), automated installation with LaunchAgent integration. Features include real-time monitoring, intelligent cache cleanup (200-500MB freed), and Chrome process management.

AI CV System

Full-stack platform transforming CVs into professional portfolio websites using AI. Features drag-and-drop builder, AI-powered HTML generation, and complete authentication system.

Architecture: Node.js/Express backend with PostgreSQL, React builder (Puck framework), Claude AI integration for CV parsing and HTML generation. Implements JWT authentication, version control for designs, and RESTful API with comprehensive documentation.

ATIS METAR Weather Station

Advanced aviation weather monitoring system with Raspberry Pi, ESP32, and gesture control. Features real-time METAR data, ATIS audio feeds, flight tracking, and Microsoft Flight Simulator-inspired UI.

Aviation Route Planning

Comprehensive feasibility study and operational analysis for a Pune-Mumbai air shuttle service, examining technical, regulatory, and economic viability. Conducted detailed route optimization using real navigation charts and airspace data, analyzing multiple flight paths with considerations for terrain, weather patterns, and air traffic control requirements. Developed complete economic models including cost-benefit analysis, break-even calculations, fuel consumption estimates, and passenger demand forecasting. Researched and documented extensive regulatory compliance requirements from DGCA (Directorate General of Civil Aviation), including licensing, safety protocols, and operational procedures. Created detailed flight planning documentation, emergency procedures, and risk assessment frameworks. The project demonstrates strong analytical skills, attention to regulatory detail, and practical application of aviation knowledge in real-world scenario planning.

Music Recommendation Research

Academic research paper exploring enhancement of music recommendation systems through regional tune recognition algorithms, combining machine learning with cultural music analysis.

NASA Wallpaper Automation

Automated macOS wallpaper management system featuring two Python scripts that fetch stunning space imagery from NASA APIs. The APOD script accesses NASA's Astronomy Picture of the Day archive dating back to 1995, while the Gallery script searches NASA's vast image library for diverse space photography including rocket launches, planetary images, nebulae, and astronomical phenomena. Both scripts feature intelligent history tracking to avoid duplicates, automatic high-resolution image downloads, and seamless wallpaper setting via AppleScript integration.

Technical Features: Python 3 with urllib for API integration, JSON-based history management (tracks 100-200 recent images), SSL context handling for compatibility, automated AppleScript execution for wallpaper setting, and metadata preservation. Designed for easy automation via cron or launchd for daily wallpaper updates.