AI Chatbot Webapp

test with some prompts and translation
Instructional prompt
Main look

Inspiration

The tech tournament is our inspiration to try out different things.

What it does

AI chatbot webapp leveraging GEMINI API to ask about anything in any language.

How we built it

🚀 Excited to Share My Latest Project: AI Chatbot Web App 🤖💬 After days of development and problem-solving, I’m thrilled to unveil my AI Chatbot Web App, a project that combines cutting-edge technology and an interactive user experience. 🔗 Live Demo: https://lnkd.in/dK7hgvEK 💡 Project Highlights ⚛️ Frontend: Built with React (Vite) for a seamless and responsive user interface. ☕ Backend: Powered by Spring Boot for robust API handling and integration with the Gemini Flash API for AI capabilities. Java Spring Boot can now seamlessly integrate with AI APIs to build intelligent, scalable applications. 🐳 Deployment: Backend hosted on Render using Docker, and frontend deployed on Netlify. ⚙️ Key Features 🤖 Natural Language Processing using the Gemini Flash API ⚙️ Scalable architecture with Dockerized backend 🚀 Smooth deployment pipeline for production

Challenges we ran into

Due to Render's free-tier limitations, the backend may take some time to respond after periods of inactivity.

Accomplishments that we're proud of

Completing the frontend and backend completely so that the chatbot can be an extension to any other work we do afterwards.

What we learned

Working on this project deepened my expertise in: ✅ Full-stack development with microservices architecture ✅ Efficient deployment strategies using Docker and cloud hosting ✅ AI API integration for enhancing user interactions