Members: Purabh Singh, Ayush Chadha
Problem: As of April 2025, over 350,000 New Yorkers were without homes, highlighting a severe housing accessibility crisis in one of the most densely populated cities in the world. Our solution to this problem, LeaseLink: Tinder for Housing. Despite abundant rental listings online, finding suitable housing remains inefficient, overwhelming and depressing. Conventional websites like Craigslist and Zillow are overflowing with useless or out-of-date listings, lack personalization, and frequently do not effectively match landlords and tenants. Both parties lose out on chances as a result of this disconnect, which also prolongs the housing search. By rethinking the rental experience through a swipe-based, match-driven interface, SwipeHousing solves this issue and makes the process quicker, easier, and more entertaining for both landlords and renters. Now, with LeaseLink, you can find your dream home while doomscrolling on a Thursday afternoon. No more endless scrolling, awkward emails, or ghost listings. With LeaseLink, renting feels less like a chore and more like a game.
Solution: The AI agent in LeaseLink works as an intelligent property recommender that personalizes the browsing experience for each buyer. When a user creates an account, the AI analyzes their profile and preferences like budget, locations, bedroom count, and income/credit score. It then combines this with their past swiping behavior to understand what exactly the user is looking for. The application sends all this data to OpenAI's GPT-4o model, which scores each available property from 1-100 based on how well it matches the user's needs and past choices. Properties are then sorted by these AI-generated scores, so users see the most relevant listings first rather than random properties. This means someone looking for luxury apartments will see high-end properties, while budget-conscious users get affordable options prioritized. Using this AI agent, we seek to make finding housing as personalized and efficient as possible.
