Python AI RESTful Web App
Budget: $250 – $750 USD
I need a production-ready RESTful web service in Python that combines two core AI capabilities: predictive analytics and natural language processing. You will take sample data that I supply, prepare and train suitable models, and expose fast JSON endpoints that can be called from any client.
Need to use some DB like Cassandra or milvus to store the data.
Modules need to contain ChatBot, CRUD operations and basic report generation
The stack is up to you—FastAPI, Flask, or Django REST Framework are all fine—as long as the codebase stays cleanly organized and easy to deploy on a Linux server or inside a Docker container. Please separate modelling logic from routing, add concise inline documentation, and include automated tests for the critical paths.
Deliverables:
• Complete Python source with requirements.txt or pyproject
• Saved, ready-to-load models for both AI tasks
• REST endpoints with clear request/response schemas
• README and minimal usage examples (cURL or small front-end snippet)
DB storage in cassandra or Milvus
If you have prior experience wrapping ML models in scalable APIs, especially with the libraries I’m likely to use (scikit-learn, TensorFlow, Hugging Face, etc.), highlight that in your proposal. Clean git history and straightforward communication throughout the build will be appreciated.
Need to use some DB like Cassandra or milvus to store the data.
Modules need to contain ChatBot, CRUD operations and basic report generation
The stack is up to you—FastAPI, Flask, or Django REST Framework are all fine—as long as the codebase stays cleanly organized and easy to deploy on a Linux server or inside a Docker container. Please separate modelling logic from routing, add concise inline documentation, and include automated tests for the critical paths.
Deliverables:
• Complete Python source with requirements.txt or pyproject
• Saved, ready-to-load models for both AI tasks
• REST endpoints with clear request/response schemas
• README and minimal usage examples (cURL or small front-end snippet)
DB storage in cassandra or Milvus
If you have prior experience wrapping ML models in scalable APIs, especially with the libraries I’m likely to use (scikit-learn, TensorFlow, Hugging Face, etc.), highlight that in your proposal. Clean git history and straightforward communication throughout the build will be appreciated.