GPCS Backend

( Image generated by Gemini-pro )

Description

GPCS (General Purpose Chat System) API is an AI powered chat system that allows users to interact with a chatbot. The chatbot is capable of answering questions, providing information, and making recommendations. The chatbot is powered by Google's Generative AI model ( Gemini-pro )

This API is built with cloud driven approach in mind, it uses AWS S3 for storing files, AWS Polly for text-to-speech, GCP Vertex AI ( Multimodal text, image, audio, video, PDF, code, and chat ) for chatbot, GCP Speech API for speech-to-text, Stripe and Razorpay for payment processing and websockets for real-time chat communication ( Between users and chatbot only )

Features

• User authentication
• AI powered chatbot
• Voice interaction with the chatbot
• Hybrid payment system (Stripe and Razorpay)
• Real-time chat through websockets

Requirements

• NodeJS ( v20.6.x or above )
• MongoDB ( No longer required )
• Azure OpenAI
• AWS S3
• AWS RDS
• AWS Polly
• AWS Keyspaces
• GCP Vertax API
• GCP Speech API
• Stripe API
• Razorpay API
• Docker ( Optional but recommended )

Installation

1. Clone the repository

git clone https://github.com/vinitparekh17/gpcs

2. Install dependencies

yarn install

3. Create a .env file in the root directory as per the .env.example file

4. Start the server

yarn server-dev # For development

yarn build && yarn start # For production

Important

Make sure to have MongoDB running on your local machine or provide the connection string in the .env file

Also, make sure to have the required AWS, GCP, Stripe and Razorpay credentials in the .env file which are required for the API to work properly.