Real-Time Fire Detection & Alert System Using Deep Learning | Deep Learning IEEE Final Year Project
🔍 Key Features of the Project:
Real-time fire detection using YOLOv5 (You Only Look Once)
Custom dataset training for fire & smoke detection
Bounding box + confidence score overlay for detected fire regions
Audio & visual alert system when fire is detected
Integration with OpenCV for live video frame capture & processing
Deployment-ready Flask web app for browser-based monitoring
💻 Tools & Technologies Used:
Python, PyTorch, OpenCV
YOLOv5 (Ultralytics)
Dataset annotation using LabelImg
Flask Web App (Frontend: HTML, CSS, JS)
Works with webcams, CCTV, or drone cameras
🎓 Best Suited For:
B.E / B.Tech / M.Tech / MCA Final Year Projects
IEEE Standards in AI, Computer Vision & Deep Learning
Research in fire safety, surveillance & smart city monitoring
AI-based early warning and disaster prevention systems
📦 Project Package Includes:
✅ YOLOv5 Trained Model (Fire Detection)
✅ Dataset + Annotation Files
✅ Complete Source Code
✅ Report + Abstract + PPT in IEEE Format
✅ Flask Web Interface
✅ Demo + Customization Support
📲 Contact for Code, Report & Full Project Setup
📞 +91-8088605682
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