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In this video, we build and deploy a full-stack Ramadan AI SaaS application called “Sehrify AI” from scratch. This project is designed as a production-ready web app and then converted into a native Android mobile app using modern tools and best practices. Sehrify AI helps users plan their Sehri & Iftari, manage Ramadan tasks, generate shopping lists, and share plans via WhatsApp — all backed by secure authentication and a scalable cloud database. This video covers real-world SaaS architecture, not demo-level projects. 🚀 What You’ll Learn How to build a Ramadan-focused AI SaaS Secure authentication using Firebase Auth Scalable data handling with Firestore Web App to Android App conversion Deployment best practices for production SEO-ready SaaS structure for portfolio & clients ✨ Key Features 🕋 Ramadan Sehri & Iftari Planner 🛒 AI-powered Shopping List Generator ✅ Advanced Todo System 📤 WhatsApp Sharing Integration 🔐 Better Authentication (Firebase Auth) ☁️ Firestore Cloud Database 🌐 Web App + Android Mobile App 📱 Capacitor-based Mobile Conversion 🧰 Tech Stack Next.js – Full-stack React framework Firebase – Auth & Firestore Database APIs – AI & app integrations Capacitor – Web to Mobile App conversion Android Studio – Android build & deployment Java – Native Android configuration 🔗 Useful Links Source Code: https://github.com/Munib-Jahangir/Ram... Portfolio: http://munibjahangirdev.vercel.app/ AI Prompt Used: http://munibjahangirdev.vercel.app/yt... Sehrify AI: https://sehrify-ai.vercel.app/ 📌 Who Is This Video For? Developers building real SaaS products Next.js & Firebase learners Developers converting web apps to mobile apps Portfolio-focused developers Anyone building production-level AI tools If you want real projects, real deployment, and real architecture, this video is for you.