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Rentora Home Page
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Rentora Login
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Rentora Rental Listings
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Rentora Buy Homes - Coming Soon
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Rentora Venture - Coming Soon
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Rentora AI Assistant Chat
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Rentora Off-Campus Apply Feature - Chosen Roommates
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Rentora Off-Campus Apply Feature - Choose Roommates
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Rentora Off-Campus Apply Feature
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Rentora Off-Campus Listings Dashboard with AI Assistant
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Rentora Off-Campus Listings Dashboard
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Rentora Off-Campus Add Listings
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Rentora Profile
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Rentora Off-Campus Off Campus - Applications
Rentora
"Rent Now"
Inspiration
The inspiration behind Rentora stems from the challenges we faced when searching for off-campus housing ourselves. We recognized the need for a platform that simplifies the entire rental process, from application to property selection.
What it does
Rentora is a comprehensive platform designed to streamline the off-campus rental experience for students. It helps users in creating compelling rental applications, leverages AI for property matching, and offers rental-related information.
How we built it
Python: Used for backend tasks, including server-side logic, data processing, and integration with AI algorithms.
JavaScript (JS): Employed for frontend development to create an interactive and dynamic user interface.
CSS: Utilized for styling and formatting the website to ensure an appealing and user-friendly design.
OpenAI: Integrated to implement advanced AI capabilities, such as natural language processing and recommendation systems.
Google Cloud Firebase: Used for backend services, including database management, user authentication, and data storage.
Google Maps API: Integrated for location-based services and property mapping features, enhancing the user experience.
Flask: Employed as a Python web framework to build the backend server, handle HTTP requests, and serve API endpoints.
NodeMailer: Used for sending email notifications and communications to users, enhancing the platform's functionality.
Challenges we ran into
During the development process, we faced challenges in optimizing the AI algorithms for accurate property matches. We also ran into challenges when trying to properly build the rental application.
Accomplishments that we're proud of
We're proud of our AI-driven property matching and the easy rental application builder.
What we learned
We learned the significance of leveraging technology to solve problems that affect us and our peers. We also learned to develop in Python and connect it to a React website.
What's next for Rentora
In the future, Rentora aims to expand its services to cover a wider range of universities and offer additional features, such as integrated payment solutions and enhanced property management tools.
Built With
- css
- flask
- google-firebase
- google-places
- javascript
- nodemailer
- openai
- python

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