Backend repository for the mobile application server which aims at making the health of the users better leveraging the use of AI.
- FastAPI: A high perfomant python based framework for creating backend server. 📈
- Mongo db database: A NoSQL database. Preferred this over the SQL database due to performance and highly unstructured data required. 📊
- openai, langchain, Deepgram SDKs and other libraries: They are libraries to deal with LLMs, Voice and other AI based works. 🤖
- AWS: Use the S3 service of AWS to store FHIR files. ☁️
- Redis: Open source key value pair in memory database. Used it to avoid DDOS attack through rate limiting strategy. 📝
- Websockts: Websocket is used over rest api for the agents to have better connection management. 🤝🏻
- Qdrant: An open source vector database for semantic search. Used for user search on the search bar. 🎉
- Docker: A devops tool to containerize applications. 🐋
- Git: Version control system. 🐱
- Linux: All development is done on linux machines. 🐧
Find the front end repository corresponding to this repo here: https://github.com/asifrahaman13/sniffle_mobile.git
To run the front end application please run this backend application.
The guidelines to run the application can be found in the CONTRIBUTING.md file.