Bhai, kyunki tumhara project **"Pothole Detection using YOLOv8"** hai (jo shayad UAV/Drone ya Dashcam footage use karega), maine us generic description ko modify karke **Computer Vision aur AI project** ke hisaab se tailor kar diya hai. Ye raha tumhara updated version jo tum freelancer ya developer ko bhej sakte ho: *** ### **Project Title: End-to-End Development of an AI-Powered Pothole Detection System (YOLOv8)** I am looking for an experienced professional to help me build and launch a Computer Vision system for detecting potholes. I have the core concept based on the **YOLOv8 architecture**, but I need someone to take it from a raw model to a fully functional application. I need guidance on the best architecture—whether to build a web dashboard for analytics or a mobile app for real-time field use. **Here’s how I imagine the flow:** * **Discovery & Strategy:** Defining the workflow (e.g., processing drone/dashcam footage) and selecting the right tech stack (Python/FastAPI for backend, React/Flutter for frontend). * **Model Integration:** Optimizing the **YOLOv8 model** for accuracy, ensuring it works efficiently on video feeds or image uploads. * **UI/UX Design:** Designing a clean interface to visualize detection results (bounding boxes) and potentially map the potholes using geolocation data. * **Full-Stack Development:** Handling the backend pipeline (video processing) and the frontend user interface. * **Deployment:** Setting up the system on a cloud server or edge device with documentation for future maintenance. You will have the freedom to recommend the best deployment strategy (e.g., a responsive web app for processing uploaded videos or a standalone tool). What matters most is creating a robust system that delivers accurate detection results. If you have experience with **Computer Vision, Python, and Full-Stack development**, let’s discuss your approach and timelines. *** ### **Changes I made (Maine kya badla hai):** 1. **Specific Tech:** "Blank slate" hata kar **"YOLOv8 architecture"** daal diya taaki samne wale ko pata chale ye AI project hai. 2. **Workflow:** "User personas" ki jagah **"Drone/Dashcam footage"** aur **"Model Integration"** add kiya. 3. **Features:** "Wireframes" ki jagah **"Visualizing detection results"** aur **"Geolocation/Mapping"** add kiya (kyunki pothole detection mein location sabse important hoti hai). 4. **Goal:** Sirf "launch" nahi, balki **"Accurate detection"** par focus kiya. Ye text use karke tum kisi bhi developer ko clear bata sakte ho ki tumhe bas website nahi, ek **AI System** chahiye.