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    Building a High-Performance AI-Powered Chat App

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    Pratham N Gundikere

    Introduction

    After working on various projects and experimenting with different technologies, I have decided to embark on an exciting new journey: building a real-time chat application with AI-powered interactions. This will not be just another chat app—it will be fast, scalable, and intelligent. To achieve this, I am using a carefully chosen tech stack that balances performance, scalability, and AI capabilities.

    Why Build This Chat App?

    In today’s world, chat applications are an integral part of communication. Whether it’s for personal use, customer support, or collaboration, speed and reliability are crucial. Adding AI-powered interactions will enhance user experience by providing smart responses, assistance, and automation. My goal is to build an app that combines real-time messaging with AI-driven insights.

    The Tech Stack

    Frontend

    • Android App: Kotlin + Jetpack Compose → For a modern, smooth, and native Android experience.

    • Web App: Next.js → For an optimized, SEO-friendly, and scalable web frontend.

    Backend

    • Golang (Fiber): Handles real-time chat using WebSockets and provides high performance with low latency.

    • Python (FastAPI): Runs AI-powered chat models locally, providing intelligent responses.

    Databases & Storage

    • MongoDB: Stores chat messages efficiently for fast retrieval.

    • PostgreSQL: Stores user data and AI interaction analytics.

    • Redis (Pub/Sub): Ensures real-time message updates with minimal delay.

    Authentication & Infrastructure

    • Firebase Auth / Supabase Auth: Manages user authentication securely.

    • Docker + Kubernetes: Deploys and scales the application efficiently.

    Key Features

    ✅ Real-time Chat powered by WebSockets for instant messaging. ✅ AI-Powered Conversations using on-device and server-based AI models. ✅ Scalability & Performance with Golang, Redis, and Kubernetes. ✅ Cross-Platform Support for both Android and Web users. ✅ Secure Authentication with Firebase/Supabase for user management.

    What’s Next?

    I will be documenting my journey while building this chat app. From setting up the infrastructure to fine-tuning AI responses, I’ll share insights, challenges, and solutions along the way. Stay tuned for updates!