У нас вы можете посмотреть бесплатно AI Agent Builds Complete Roommate Matching Platform - Flask, SQLite, AI Matching Algorithm или скачать в максимальном доступном качестве, видео которое было загружено на ютуб. Для загрузки выберите вариант из формы ниже:
Если кнопки скачивания не
загрузились
НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием видео, пожалуйста напишите в поддержку по адресу внизу
страницы.
Спасибо за использование сервиса ClipSaver.ru
🤖 I DIDN'T WRITE A SINGLE LINE OF CODE - AI Agent Built This ENTIRE App! In this video, I'm showing you something absolutely mind-blowing: I built a complete, fully functional roommate matching application using ONLY AI agents. No coding from my side. Zero. Nada. I just told the AI what I wanted, and it built everything! 🔗 GitHub Repository (Source Code): https://github.com/jaswanth-mjy/roomm... (Star the repo if you find this interesting!) 🎯 What This App Does: This isn't just a mockup. It's a working full-stack application featuring: ✅ AI-Powered Matching: A 6-dimensional algorithm to find your perfect roommate. ✅ Full Auth System: User registration, login, and secure authentication. ✅ Room Requests: Real-time system to send, accept, and reject roommate invitations. ✅ Auto-Assignment: Automatic PG (Paying Guest) room placement upon matching. ✅ Smart Preferences: Matches based on Budget, Location, Sleep Schedule, Food Habits, Cleanliness, & Personality. ✅ Dynamic UI: A beautiful, responsive interface that adapts to your room status. 💡 The Tech Stack (Built 100% by AI): Backend: Flask (Python) Database: SQLAlchemy + SQLite Frontend: HTML, CSS, JavaScript Architecture: RESTful API with Token-based auth 🚀 The Process (How I did it): I literally sat back and watched as the AI agent: Set up the flask folder structure. Created complex database models (Users, PGs, Matches). Wrote the weighted compatibility algorithm. Designed the frontend and connected it to the API. Debugged its own errors and created sample data. Result: 84 files and 15,636+ lines of code generated without me touching a keyboard! 🔥 Feature Breakdown: The "6-Dimensional" Algorithm: The AI weighted the matching logic for maximum compatibility: 💰 Budget Compatibility: 20% 📍 Location Preference: 15% 😴 Sleep Schedule: 20% 🥗 Food Habits: 15% 🧹 Cleanliness Level: 15% 🧠 Personality Type: 15% Smart Room Assignment: When two users match and accept, the system automatically assigns them to the same PG room, updates occupancy, and cancels other pending requests. 💭 My Honest Take: This experiment is both exciting and slightly terrifying. AI agents can now build production-ready applications with minimal human intervention. But here's the catch - you still need to know WHAT to build. Domain knowledge and product thinking are becoming more valuable than syntax! 🛠️ Want to Run It Yourself? The entire codebase is open source! Clone the repo, install dependencies, and you're ready to go. The AI even created setup scripts and documentation. 📱 Connect With Me: GitHub: https://github.com/jaswanth-mjy Repository: https://github.com/jaswanth-mjy/roomm... 🤔 What Should I Build Next? Drop your ideas in the comments! I'm thinking: E-commerce platform? Social media clone? AI chatbot application? Your suggestion? 👍 If you enjoyed this experiment, please: LIKE, SUBSCRIBE, and SHARE this with developers who need to see the future of coding! #AIAgent #NoCode #Flask #PythonProject #RoommateMatching #ArtificialIntelligence #WebDev #CodingWithAI #TechDemo #SoftwareEngineering #FutureOfWork