CoLive: Modern Roommate Finding Web App

Inspiration

The idea for CoLive stemmed from the growing need for a convenient and efficient platform for individuals seeking roommates and housing in NYC. Currently, the predominant method of finding roommates is through Craigslist and Facebook groups, which is outdated. We noticed a gap in the market for a solution that not only matches users based on their housing preferences but also takes into account their interests and living habits to foster harmonious living arrangements.

What it does

CoLive is a web application that revolutionizes the roommate-finding process. Users can create detailed profiles highlighting their preferences, interests, and lifestyle choices. The platform employs a sophisticated matching algorithm to pair users with compatible roommates and housing options. Through an intuitive interface, users can swipe through potential matches and housing listings, and in the upcoming updates, users will be able to initiate conversations with other users to explore compatibility further.

How we built it

CoLive was built using modern web development technologies. We utilized Next.js for the frontend to ensure a smooth and responsive user experience. For the backend, we leveraged Node.js and Express.js with supabase integrated to handle data processing and user authentication. The matching algorithm was developed with cosine similarity and advanced data analysis techniques to ensure accurate roommate and housing recommendations. Additionally, we plan on integrating a messaging feature using WebSockets to facilitate seamless communication between users in the upcoming updates.

Challenges we ran into

Building CoLive presented us with formidable challenges: perfecting a recommendation system by converting user inputs into vector embeddings for precise matches, consolidating multiple databases into one with SupaBase for streamlined operations, and overcoming hurdles in Next.js to ensure smooth data flow to the front-end. Each step was a leap towards creating an efficient, user-friendly platform for finding ideal living spaces and roommates.

Accomplishments that we're proud of

We're proud to have successfully developed a comprehensive solution that addresses the complexities of roommate finding and housing search. Our matching algorithm has been refined to provide highly personalized recommendations, resulting in meaningful connections between users. Moreover, we're pleased with the seamless integration of real-time messaging, which enriches the user experience and fosters communication among users.

What we learned

Throughout the development of CoLive, we gained invaluable insights into the intricacies of web application development. In particular, we delved deep into the realm of complex algorithms, including cosine similarity, to power our matching algorithm. This involved extensive research and experimentation to ensure the accuracy and efficiency of our recommendation engine. Additionally, we honed our skills in frontend and backend technologies, mastering frameworks like React.js, Node.js, and Express.js. Furthermore, we gained a profound understanding of the importance of user-centric design in creating intuitive and engaging interfaces, which was pivotal in enhancing the overall user experience of CoLive.

What's next for CoLive

Moving forward, we're excited to elevate your apartment and roommate search experience. Our innovative NLP technology is set to transform how you find your ideal living space, offering tailored listings that match your preferences to the letter. We're gearing up to deploy this technology, allowing real users to effortlessly discover apartments and compatible roommates. The next step involves harmonizing our successful roommate matching algorithm with apartment hunting, ensuring you and your future roommate can jointly select the perfect abode. Stay tuned for a more intuitive, efficient, and satisfying way to secure your next home.