Automatically matches prospective tenants and property owners.

Each post contains the location, property type and price

Determine if a post is from a property owner or a prospective tenant

Extract the location, property type and price from the post

1. If the post is from a service provider then the location is a single point in an area
2. If the post is from a prospective tenant the location may be:
   • A single area,
   • A list of areas,
   • An area and a range (Looking for a place around Montshioa, looking for a place near Mega City)

1. Commune,
2. Room,
3. Bachelor(a room with a kitchenette and in suite bathroom),
4. 1 bedroom,
5. 2 bedroom,
6. 3 bedroom,
7. 4 bedroom

1. If the post is from a service provider then the price is a fixed value,
2. If the post is from a prospective tenant then the price is a range.

• Train intent recognition model,
• Train named entity recognition model,
• Service
  • Determine intent,
  • Extract features using NER,
  • IF Prospective tenant:
    • Search Supplier DB
    • IF Supplier not found: Add request to Prospective Tenant DB
    • ELSE: Return supplier list
  • IF Property owner:
    • Add supplier to Supplier DB

• Python,
• Rasa NLU,
• BERT