AIRINDEX INDIA - AI-Based Airfare Price Tracking & Forecasting | SIH 2026 | Team Eureka

Our platform combines web scraping, official aviation data, statistical methodologies, and Machine Learning to create a smarter airfare intelligence system. Key components include: ✈️ Automated airfare data collection 🌐 Web scraping and online price monitoring 📊 Airfare trend analysis and visualization 🤖 Machine Learning-based forecasting 🔎 Data validation using official aviation statistics 📈 Historical and real-time price insights 🇮🇳 Alignment with India's CPI 2024 framework 🌍 Reference to international CPI practices 🧠 Technology & Approach The solution integrates: Web Scraping → Data Processing → Validation → Feature Engineering → ML Forecasting → Dashboard & Insights Our approach is inspired by established practices from international statistical organizations and India's official CPI methodology. 👥 Team Eureka Smart India Hackathon 2026 We aim to build a practical, scalable and data-driven approach to airfare monitoring and forecasting. 📄 Full https://drive.google.com/file/d/1lwo4... 💻 GitHub: https://github.com/NordenLama/airfare.... Team email - suramya_24cse222gmail.com