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Using SFC models, we can call API to get output from various data analytics code and machine learning model

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SFC_Model

Using SFC models, we can call API to get output from various data analytics code and machine learning model. This tool has been designed and implemented by Husnul Abid.

Features

* Meat consumption data analysis
* War effect data analysis

Setup SFC_Model Locally

  1. Please clone the repository

  2. Create a virtual environment

  3. Install the libraries from requirement.txt

  4. Run flask run command

  5. The application should run at http://127.0.0.1:5000

Setup SFC_Model Locally using Docker

  1. Dockerfile and docker-compose.yml have been implemented with this project

  2. To run in Docker, Please install Docker and make sure it's running

  3. Run docker-compose up --build and it will export the application and database into images

  4. The application should run at http://127.0.0.1:5100

  5. Request the API with appropriate body

Tech Stack Used

- Flask
- PyTorch
- Pandas
- Data Analytics
- Machine Learning

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Using SFC models, we can call API to get output from various data analytics code and machine learning model

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