A web based application to predict house rent price in Nigeria.
Link to project: https://github.com/Aladdin4u/real-estate-pricing
Tech used:
One of the first thing I would do improve the architectures and design patterns to increase reusability and maintainability and constant refacturing of the code.
Trainning a model to leverage historical property data, features like location, square footage, number of bedrooms, parking space and local amenities to predict house prices.
Enter your mindsdb info inside the .env file
MINDDB_USER=""
MINDDB_PASS=""
- Clone repo
- run
npm intall
- cp .env.example .env
- run
npm run dev
- navigate to https://localhost:3000