You will get Real-Time Fire & Smoke Detection | YOLO + Jetson + Mobile Notifications
Project details
Vigilant AI is a production-ready real-time fire and smoke detection system that identifies fire at the earliest ignition stage — much earlier than traditional smoke detectors.
Built with YOLO object detection and optimized for edge devices, the system runs efficiently on NVIDIA Jetson Orin Nano using TensorRT (30+ FPS). When fire or smoke is detected, it instantly sends a push notification with the captured image to the user's mobile app via Firebase Cloud Messaging and stores the image in Firebase Storage.
This project showcases my full-stack AI capabilities: from model training and optimization to edge deployment and cloud integration. It combines Computer Vision, Embedded AI, and real-time notification systems — skills I use to deliver practical, high-impact AI solutions for clients in security, smart buildings, and industrial safety.
Full source code, training notebook, TensorRT export script, and architecture diagram are available on GitHub.
Built with YOLO object detection and optimized for edge devices, the system runs efficiently on NVIDIA Jetson Orin Nano using TensorRT (30+ FPS). When fire or smoke is detected, it instantly sends a push notification with the captured image to the user's mobile app via Firebase Cloud Messaging and stores the image in Firebase Storage.
This project showcases my full-stack AI capabilities: from model training and optimization to edge deployment and cloud integration. It combines Computer Vision, Embedded AI, and real-time notification systems — skills I use to deliver practical, high-impact AI solutions for clients in security, smart buildings, and industrial safety.
Full source code, training notebook, TensorRT export script, and architecture diagram are available on GitHub.
AI Development Type
Deep LearningAI Tools
NVIDIA AI Platform, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included $800
These options are included with the project scope.
$800
- Delivery Time 14 days
- AI Model Integration
- Model Documentation
- Source Code
About Bhargav
Founder, CTO & Senior Deep Learning Engineer
Ahmedabad, India - 2:13 pm local time
I build production-ready Deep Learning and Generative AI solutions that deliver real business results.
Specialized in:
• Computer Vision (Object Detection, Segmentation, OCR)
• Large Language Models (LLM) & Generative AI (Chatbots, RAG, Fine-tuning)
• Custom Model Training & Optimization (PyTorch, TensorFlow, Hugging Face)
• End-to-end AI pipelines (from data to AWS/GCP deployment)
Unique edge: I’m also a Firmware/Embedded Systems expert (C, Linux Kernel, Embedded Linux). This combination lets me deliver full-stack AI + hardware solutions that most pure AI developers can’t perfect for IoT, robotics, edge AI, and smart devices.
I can help you with:
→ Training your custom AI model from scratch
→ Building complete AI products or services
→ Optimizing existing models for speed & cost
→ Full project management from idea to production
Proven track record of delivering challenging projects on time with clean, scalable code.
Available immediately for short-term or long-term AI projects. Let’s turn your AI idea into a working product message me today!
Steps for completing your project
After purchasing the project, send requirements so Bhargav can start the project.
Delivery time starts when Bhargav receives requirements from you.
Bhargav works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement analysis and dataset preparation for fire & smoke detection
Model training and fine-tuning using YOLO on Colab with GPU acceleration