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airline data and a trained machine learning model.\n\n### 🔍 Features\n- Developed using **Python** and **Flask**\n- Interactive form for user inputs (airline, route, stops, date/time)\n- Predicts prices based on a trained **Random Forest model**\n- Trained on Indian flight fare dataset from Kaggle\n- Deployed using **Render** (free tier)\n\nThis project demonstrates end-to-end ML deployment with real-world prediction use cases.\n\n\n🔗 **Live App**: [Visit on Render](https://flight-price-predict-deployment.onrender.com) 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