Real estate business needs fast and efficient tools to take advantageous decisions. Automatic price estimator is a handy tool that can boost the work productivity of real estate projects and navigate the clients in the sea of real estate offers.
The immo-eliza-ml program is an example of such a tool. With the help of such features as location and living area of the apartment of the house it can rapidly predict the price of the property.
To use the API please access https://immo-eliza-deployment-latest.onrender.com/
Use /predict path to get the price estimations.
To obtain the estimation, please send the post request in the following format:
{
"property_id": 999999999,
"price": 0,
"locality_name": "brussel",
"postal_code": 1000,
"latitude": 50.872696,
"longitude": 4.315854,
"property_type": "APARTMENT",
"property_subtype": "APARTMENT",
"type_of_sale": "BUY_REGULAR",
"number_of_rooms": 2,
"living_area": 60,
"number_of_rooms": 3.0,
"living_area": 92.0,
"kitchen_type": "HYPER_EQUIPPED",
"fully_equipped_kitchen": 1.0,
"furnished": 0.0,
"open_fire": 0.0,
"terrace": 1.0,
"terrace_area": 14.0,
"garden": 0.0,
"garden_area": 0.0,
"surface_of_good": 113.0,
"number_of_facades": 3.0,
"swimming_pool": 0.0,
"state_of_building": "GOOD",
"main_city": "brussel",
"province": "brussel"
}
You will receive your estimation in the following format:
{
"Price prediction, €: ": 593261.85
}
The project was carried out within the framework of Data&AI training by BeCode within 5 days.
- Day 1-2 learning Fast API documentation
- Day 3 creation of the API
- Day 4 deployment of the API using Docker on Render
- Day 5 structuring
The program was developed by Alfiya Khabibullina under the supervision of the coach Vanessa Rivera-Quinones