Enhance AI Chatbot's Conversational Intelligence
Budget: ₹12,500 – ₹37,500 INR
Excited to share my latest AI project – a Perplexity-style AI Chatbot built using the MERN Stack!
Over the past few weeks, I developed a full-stack AI-powered search and chat platform that combines conversational intelligence with real-time web information retrieval.
Tech Stack:
• MongoDB, Express.js, React.js, Node.js (MERN)
• SASS for responsive and modern UI design
• Google Gemini API for generating intelligent conversational responses
• Mistral API for dynamic website/content generation
• Tavily Search API for fetching real-time internet updates and current information
Key Features:
AI-powered conversational interface
Real-time web search integration
Context-aware responses
Dynamic content generation
Clean and responsive user experience
Full-stack architecture with scalable backend APIs
This project helped me gain hands-on experience with Retrieval-Augmented Generation (RAG)-style workflows, API integration, prompt engineering, state management, and building production-ready AI applications.
Building this chatbot strengthened my understanding of how modern AI products combine Large Language Models, search systems, and web technologies to deliver accurate and up-to-date information.
#AI #GenerativeAI #MERNStack #ReactJS #NodeJS #MongoDB #GeminiAI #MistralAI #Tavily #WebDevelopment #FullStackDeveloper #MachineLearning #SoftwareEngineering #OpenToWork
Over the past few weeks, I developed a full-stack AI-powered search and chat platform that combines conversational intelligence with real-time web information retrieval.
Tech Stack:
• MongoDB, Express.js, React.js, Node.js (MERN)
• SASS for responsive and modern UI design
• Google Gemini API for generating intelligent conversational responses
• Mistral API for dynamic website/content generation
• Tavily Search API for fetching real-time internet updates and current information
Key Features:
AI-powered conversational interface
Real-time web search integration
Context-aware responses
Dynamic content generation
Clean and responsive user experience
Full-stack architecture with scalable backend APIs
This project helped me gain hands-on experience with Retrieval-Augmented Generation (RAG)-style workflows, API integration, prompt engineering, state management, and building production-ready AI applications.
Building this chatbot strengthened my understanding of how modern AI products combine Large Language Models, search systems, and web technologies to deliver accurate and up-to-date information.
#AI #GenerativeAI #MERNStack #ReactJS #NodeJS #MongoDB #GeminiAI #MistralAI #Tavily #WebDevelopment #FullStackDeveloper #MachineLearning #SoftwareEngineering #OpenToWork