A project to decide on apartment listings based on a set of criteria. Rankings are based on a weighted average of the criteria.
- Price
- Location (travel time to common destinations, grocery stores, etc.)
- Amenities (laundry, dishwasher, etc.)
- Travel time by transportation type (train, bus, bike, walk)
- Nearby grocery stores and their ratings
Price and amenities
graph LR;
subgraph get_data
user_input--streeteasy url-->main.py;
main.py--streeteasy url-->scrape_streeteasy.py;
scrape_streeteasy.py--streeteasy.com-->apt_json[(data/address/uid.json)];
apt_json-->get_directions;
create_destination.py-.->destinations_json;
destinations_json[(data/directions/destinations.json)]-->get_directions;
get_directions--maps_api-->directions_json[(data/directions/origin_destination.json)];
end;
subgraph clean_data
directions_json-->compute_distance.py;
compute_distance.py-->delta/transit_directions;
compute_distance.py-->dedupe_directions;
dedupe_directions-->delta/transit_directions;
end;
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent