Mifos X Credit Scoring Module
Fineract Credit Scorecard
The project consisted of providing an AI powered solution to the users for credit assessment of loans. The project covered various aspects from classical AI, considering various statistical models, to the modern day neural network. The project is enriched with various credit modeling techniques, giving access to the user to choose one or any from them. It also takes care of the different data sources from which data can be fetched and has been fully incorporated to handle data coming from various sources like JSON/XML or SQL.
- You can access DRF browsable API at: http://127.0.0.1:8000/api/v1
- You can access swagger docs at: http://127.0.0.1:8000/api-docs/swagger-ui
- You can access redoc docs at: http://127.0.0.1:8000/api-docs/redoc
Instructions to run using Docker and docker-compose
It is possible to easily run Fineract Credit Scorecard server using docker and docker-compose.
As Prerequisites, you must have docker and docker-compose installed on your machine; see Docker Install and Docker Compose Install.
Alternatively, you can also use Podman (e.g. via dnf install podman-docker), and Podman Compose (e.g. via pip3 install podman-compose) instead of Docker.
Now you can spin up your instance by:
docker-compose build
docker-compose up -d
Once you are done, you can stop the containers by issueing the command:
docker-compose down
The docker-compose.yml will build the scorecard server container from the source based on the Dockerfile.
Instructions to generate client SDKs
To generate the client SDKs