Stock-Predictor-ML-Inference

The objective of this code is to create a model inference server via Flask to send stock predictions from the trained ML model to the frontend and monitor model and data drift using Evidently AI.

Setup

To run this code locally you can either install via conda:

conda env create -f environment.yml

Or through pip using the two commands below:

pip install requirements.txt

pip install -e .

Deployment

This backend is hosted on Render.com for free.

Connected Services

This repository interacts with the following services below:

1. Stock-Predictor-ML-Training
2. Stock-Predictor-Frontend