Build a Full-Stack GenAI Conversation Analytics App with LLM, React ,MongoDB & Docker

In this tutorial, we create a fullstack GenAI Conversation Analytics app. We will be using React for the front end, MongoDB for our database, and Docker for seamless deployment including Authentication and Authorisation using Json Web Token (JWT). Plus, we will leverage the free Gemini-Pro for enhanced functionality. Perfect for developers looking to expand their skills in full-stack development using GenAI.

You can use this project repository as a sample and extend it to meet your needs. I will update the codebase to include separate analytics for each user and address other important topics.

Example:
Customer Feedback: I reached out for help with my account, and the support team was very responsive and helpful. I appreciate their quick assistance, but it would be helpful to have more self-service options available.

Conversational Analytics:
Key Topics: Account support
Overall Sentiments: Mixed (Positive | Negative)
Emerging Trends: Limited self-service options

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GitHub Link - https://github.com/genieincodebottle/...
FastAPI - https://fastapi.tiangolo.com/
React - https://react.dev/
JWT - https://jwt.io/

How to setup Google's free Gemini Pro API Key -   • Видео  
Gemini API Key - https://console.cloud.google.com/apis...
Docker Install - https://docs.docker.com/engine/install/
Postman Install - https://www.postman.com/downloads/

Instagram -   / genieincodebottle  

00:00:00 Introduction
00:04:22 Backend
00:15:52 Frontend
00:19:41 Docker, Secret Key setuo, env, Running app
00:24:30 Understand Custom JWT Authentication & Authorization process

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