AI Fire & Smoke Detection

@efanntyo

Hello Mohamed Ahmed S. Hope you are doing well! This is Efan , I checked your project detail carefully. I am pretty much experienced with Docker, Android Wear SDK, Machine Learning (ML), Computer Vision, REST API, Mobile App Development, Android and Java for over 8 years, I can update you shortly. Cheers Efan

@toriquldev123

Hello Dear! I write to introduce myself. I'm Engineer Toriqul Islam. I was born and grew up in Bangladesh. I speak and write in English like native people. I am a B.S.C. Engineer of Computer Science & Engineering. I completed my graduation from Rajshahi University of Engineering & Technology ( RUET). I love to work on Web Design & Development project. Web Design & development: I am a full-stack web developer with more than 10 years of experience. My design Approach is Always Modern and simple, which attracts people towards it. I have built websites for a wide variety of industries. I have worked with a lot of companies and built astonishing websites. All Clients have good reviews about me. Client Satisfaction is my first Priority. Technologies We Use: Custom Websites Development Using ======>Full Stack Development. 1. HTML5 2. CSS3 3. Bootstrap4 4. jQuery 5. JavaScript 6. Angular JS 7. React JS 8. Node JS 9. WordPress 10. PHP 11. Ruby on Rails 12. MYSQL 13. Laravel 14. .Net 15. CodeIgniter 16. React Native 17. SQL / MySQL 18. Mobile app development 19. Python 20. MongoDB What you'll get? • Fully Responsive Website on All Devices • Reusable Components • Quick response • Clean, tested and documented code • Completely met deadlines and requirements • Clear communication You are cordially welcome to discuss your project. Thank You! Best Regards, Toriqul Islam

@amirrmusavifr

Hi, I’m an AI expert with professional experience in computer vision, with a proven track record of working on complex image processing and AI/ML model development. With skill sets: • Algorithm Development: Strong understanding of computer vision algorithms and techniques, including convolutional neural networks (CNNs), object detection, image segmentation and feature extraction. • Model Training & fine-tuning: Develop and train machine learning models tailored for image analysis and visual data interpretation. I have worked on some well-known models like YOLO, RCNN, U-Net, Deeplab, ViT etc. • AI Integration: Implement and integrate AI models into existing software and hardware systems, ensuring high performance and scalability. • Data Analysis: Analyze and process large datasets of images and video feeds to identify patterns, trends, and insights. • Data Handling: Experience in handling and processing large datasets, including image and video data. Familiarity with data augmentation techniques and synthetic data generation. • Performance Optimization: Optimize algorithms and models for real-time processing and ensure they can handle large-scale data efficiently. • Programming Skills: Proficient in programming languages such as Python. Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras. • Tools & Libraries: Proficiency with OpenCV, scikit-image, and other relevant libraries. Experience with version control systems like Git.

@khurshid040462

Hi there, I'm excited about your project focused on AI-powered fire and smoke detection. With experience in developing computer vision systems, I can tailor a solution that meets your stringent requirements, ensuring accurate detection and minimal latency. I have successfully implemented similar projects, where I've utilized frameworks like PyTorch and TensorFlow for real-time analysis. My approach entails creating a robust detection model packaged within a Docker container, integrating a configurable email notification system, and developing a fully functional Android app for user interaction. I will provide comprehensive documentation and a demo video showcasing the system in action. We can collaborate closely to ensure the project's success while adhering to your timeline. Best regards,

@ullahimran914

Hello, I’m very interested in your project. I’ve recently built a similar real-time fire/smoke detection system using YOLOv9, optimized to run with very low latency even on CPU-only edge devices. Because of this, I’m confident I can meet your requirement of keeping end-to-end alert latency under two seconds. I can deliver the full pipeline you outlined: a trained PyTorch model, a lightweight Dockerized detection service for RTSP/ONVIF streams, instant SMTP email alerts with annotated frames, and a clean, fully functional Android app for viewing and acknowledging incidents. I will also provide all preprocessing scripts, documentation, and a demo video. If you’d like, I can share more details about the architecture and timeline. I’d be happy to help bring this system to life.

@tylerscott14

Hello, I’m an experienced developer specializing in computer vision, real-time streaming, and Android applications, and I can bring your AI-powered flame and smoke detection system to life. I will train a high-accuracy model (PyTorch or TensorFlow) specifically for indoor environments like warehouses, offices, and server rooms. The system will run continuously on an edge device or local server, analysing RTSP/ONVIF feeds in real time. Upon detection, a Dockerized detection service will instantly send an email with timestamp, location, and an annotated frame, keeping latency under two seconds. The Android companion app will mirror alerts, allow users to acknowledge or dismiss incidents, and provide camera health monitoring. I will provide clean, commented code, dataset preprocessing scripts, a setup guide, and a demo video to ensure your system is fully operational and maintainable. My approach emphasizes minimizing false positives while ensuring fast, reliable alerts. Best,

@ghulamm501

Drawing on my over 2 years of dedicated experience in mobile app development, I see your project as a perfect fit for my skills. As a seasoned Flutter developer proficient in Dart, I've gained extensive knowledge in handling real-time information such as RTSP/ONVIF streams - a skill that will be instrumental in keeping track of immediate fire/smoke triggers. My understanding of state management and database integration also means that I can easily put together an Android application with REST/WebSocket endpoints to handle the crucial acknowledgements you've requested. In addition to these technical skills, I am adept at integrating APIs into applications – and can deliver an email notification module that will work harmoniously with your preferred SMTP service. Beyond just functionality, I'll make sure the resultant Android app is both user-friendly and visually appealing for efficient use. Rest assured, clean, commented source code along with a detailed setup guide will accompany the final delivery to offer both ease-of-use and scalability for future maintenance. Finally, not only do I have the necessary expertise to deliver on all five of your outlined requirements, but I also embody a passion for innovative mobile solutions. Choosing me guarantees a professional driven by quality outputs. Your AI-powered safety solution requires an experienced hand on deck - allow mine to complete your project successfully.

@bonifacedn

Good afternoon , How are you? I hope this proposal finds you well. I have checked your project (AI Fire & Smoke Detection), which lies in the field of my certification & experience. This is to inform you that I have KEENLY gone through your project description, CLEARLY understood all the project requirements as instructed in your project proposal and this is to let you know that I will perfectly deliver as desired. Being in possession of all stated required skills like; Mobile App Development, Docker, Machine Learning (ML), Computer Vision, Java, Android, REST API and Android Wear SDK:, as this is my field of professional specialization having completed all certifications and developed adequate experience in the respective field, I hereby humbly request you to consider my bid for professional, quality and affordable services that meet all your requirements. I always guarantee timely delivery and unlimited revisions where necessary hence you are assured of utmost satisfaction when working with me. Please send me a message so that we can discuss more and seal the project. WELCOME.

@artemb35

Hi there, I understand that your main goal is to implement an effective AI fire and smoke detection system on a WordPress platform with seamless membership and affiliate tracking capabilities. I previously deployed a live WordPress site for a safety training organization, which included a custom membership system using the MemberPress plugin, resulting in a 30% increase in member sign-ups. Additionally, I configured an affiliate tracking system using AffiliateWP, which improved referral traffic by 25%. To address your needs, I will integrate a tailored membership solution along with an affiliate tracking system that ensures accurate performance monitoring. I can showcase the first staging preview within 48 hours. I would be happy to discuss your needs and get started right away. Best regards, Artem

@DylanCarlisle

Attention, blackbirddd, As an experienced freelancer specializing in computer vision, real-time streaming, and Android development, I am confident in bringing your AI-powered safety solution to life. With over 5 years of expertise in building complex systems, my tailored proposition to you includes: 1. Developing a precise computer-vision model trained for indoor scenes. 2. Creating a lightweight detection service with swift email notifications. 3. Designing a user-friendly Android app for instant alerts and camera health checks. My track record includes successful AI projects with results exceeding client expectations. Let's chat to discuss how my skills can make your vision a reality. Your project success is my priority. Best regards, Dylan Ashley Carlisle

@danep1

If you not happy, You dont Pay. I'd love to help you bring your site across the finish line. I've completed projects involving real-time computer vision, Dockerized services, and Android app development, delivering professional and user-friendly systems that are unique, integrated, and automated. For example, I developed a warehouse monitoring tool using TensorFlow with live alerts and low latency processing. I offer expertise in PyTorch, Docker, REST APIs, SMTP configuration, and Android application development. I’m a returning freelancer who stepped away when the market was smaller, but now that digital demand is stronger than ever, I’m excited to contribute to innovative projects like yours. Would love to chat to you regarding your requirement Regards, Dane Petersen

@jaysharma9321js

Hi — I’ve read your requirements and I’d be interested in building this end-to-end AI fire and smoke detection system. Your goal is clear: detect flame or smoke from live RTSP/ONVIF feeds in real time, trigger alerts within ~2 seconds, and mirror those alerts on an Android app. My approach focuses on accuracy, low latency, and reliability. I’ll train a custom indoor-focused fire/smoke detection model (PyTorch/TensorFlow) with preprocessing scripts included. The inference engine will run as a lightweight Dockerized service with REST + WebSocket support, annotated frame output, camera health checks, and configurable SMTP email alerts. For the Android app, I’ll build a clean, responsive UI (native Kotlin) that shows alert history, annotated snapshots, timestamps, camera tags, and lets users acknowledge or dismiss events. The backend and app will stay in sync through WebSockets for real-time responsiveness. Final deliverables include: • Trained model + dataset pipeline • Dockerized detection service • SMTP alerting module • Full Android app with clean source • Setup guide + short demo video Before starting, I’d like to confirm: – Expected hardware (GPU/edge device?) – Existing dataset availability (or start from open sources?) If everything aligns, I can deliver a reliable MVP in ~3–4 weeks.

@shuvadeep003

Hi there, I’ve reviewed your project requirements. You’re looking to build an AI-powered early fire and smoke detection system with real-time alerts and mobile monitoring. Here’s how we can approach it: Computer Vision Model: Train a PyTorch or TensorFlow model specifically for indoor smoke/fire detection. Use data augmentation and preprocessing scripts for warehouses, offices, and server rooms. Optimize for low latency inference (<2 seconds) on an edge device or local server. Detection Service: Package the model into a lightweight Docker container with REST/WebSocket endpoints. Continuous frame analysis from RTSP/ONVIF camera streams. Annotated frames and event metadata (timestamp, camera/location tag). Alert System: Send instant email notifications via a configurable SMTP module. Include the flagged frame and event details. Android Companion App: Displays live alert feed, allows acknowledging/dismissing events. Provides camera health monitoring. Clean, maintainable code with build instructions. We are a team experienced in computer vision, real-time streaming, Dockerized deployment, and Android development. We can deliver a fully functional system with training scripts, detection service, notification module, and Android app. The shared link or prototype can be discussed further to finalize architecture and timeline. Best regards, Shuvadeep

@GustavoKolling07

Solução de segurança com IA que analisa câmeras ao vivo via RTSP/ONVIF, detecta fumaça ou fogo em menos de 2s e envia alertas instantâneos por e-mail e app Android. Inclui modelo treinado em PyTorch/TensorFlow, serviço Docker com API REST/WebSocket, módulo SMTP configurável e aplicativo Android com suporte a Android Wear. Entrega com guia de configuração e vídeo de demonstração.

@iramjafar588

Hi there, I am a professional Android developer with 3+ years of experience and I have developed multiple applications using modern Android architecture. I have seen your project description and I am confident that I can deliver this exactly the way you want. My skills: ✓ Kotlin / Java ✓ Firebase & Firestore ✓ REST API integration ✓ XML UI / Material Design ✓ Bug fixing & performance optimization ✓ Payment gateways ✓ Location, Camera, Services, Background Tasks What I offer: Fully functional Android app Clean & maintainable code Daily updates Quick responses Free support after project delivery

@Flownetix

✅ You don’t pay unless you’re 100% happy. ✅ I recently helped a client launch a real-time monitoring system that enhanced early risk detection for their facilities. I can help you build a seamless AI-powered safety solution combining computer vision, real-time data processing, and a user-friendly mobile app. I make sure every detail is handled carefully and keep communication clear so you always feel confident about the progress and final result. Your need for a clean, professional interface with automated alerts and minimal latency shows you value accuracy and speed. My skills cover computer vision with TensorFlow/PyTorch, Docker-based deployment, REST APIs, SMTP email modules, and Android development. I might be new here, but I take every project seriously and aim to leave every client fully satisfied. I can provide a quick breakdown or draft idea for free so you can see my approach before committing. Regards, WJ.

@InjectAI

Hello, I have developed multiple Computer Vision projects and deplyed on Nvidia Jetson Tx2, Nano and Xavier. Please visit my profile portfolio to see related projects Lets open chat for further discussion Regards