Project Showcase: NeuroChat — Multi-Provider AI Chatbot I’m excited to share NeuroChat, a full-stack AI chatbot platform that I designed, developed, tested, and successfully deployed on Render. • 🤖 Built a multi-provider AI architecture using Gemini, OpenRouter, and Groq with automatic fallback, reducing dependency on a single AI provider. • 🎙️ Supports voice messaging, allowing users to speak their queries and interact with the chatbot naturally. • 🌍 Supports multiple languages, making NeuroChat more accessible for users from different linguistic backgrounds. • 🌐 Users can ask about recent and current updates, with Google Search grounding helping provide up-to-date information and relevant sources. • 💬 Includes real-time streaming responses, conversation memory, Markdown/code support, rate limiting, and secure multi-user authentication using Firebase Authentication and Firestore. • 🆓 Designed to be free to use within the available free-tier limits, allowing users to explore AI-powered conversations without requiring a paid subscription. • 🛠️ Tech Stack: Next.js, TypeScript, Tailwind CSS, FastAPI, Python, Firebase, Firestore, Gemini, OpenRouter & Groq. 🌐 NeuroChat is now live on Render! This project helped me gain practical experience in AI integration, multi-model orchestration, voice interaction, multilingual AI, real-time systems, authentication, backend security, and production-oriented full-stack development. Building → Testing → Deploying → Learning 🚀 #NeuroChat #AIChatbot #ArtificialIntelligence #GenerativeAI #MultiLanguageAI #VoiceAI #FullStackDevelopment #NextJS #FastAPI #Python #Firebase #Gemini #OpenRouter #Groq #WebDevelopment #AIEngineering #ProjectShowcase #Render