Project Info
This project did not submit a demo video on Devpost.
Friender was inspired by the growing challenge adults face in establishing meaningful connections. The increasing prevalence of social isolation sparked the idea to create a platform that addresses this issue head-on, fostering genuine friendships among like-minded individuals. Friender is a revolutionary platform designed to help adults find and connect with friends who share common interests. The app utilizes advanced algorithms to match users based on their hobbies and preferences, facilitating the creation of authentic connections and combating social isolation. The Friender project was brought to life through collaborative efforts, combining innovative technology and user-centric design. Our team worked diligently to create a user-friendly interface and implement sophisticated matching algorithms to enhance the overall user experience. Developing Friender posed various challenges, including refining the matching algorithms to ensure accuracy and addressing technical complexities. Overcoming these hurdles required a strategic approach and collaborative problem-solving. We are proud to have created a platform that not only addresses a prevalent societal challenge but also fosters a sense of community and connection among users. Friender's success lies in its ability to facilitate meaningful relationships and combat social isolation. Throughout the development of Friender, our team gained valuable insights into the importance of user experience, algorithmic precision, and the impact of technology on social well-being. The project taught us the significance of addressing real-world issues through innovative solutions. Looking ahead, Friender aims to continuously evolve and enhance its features. The next phase includes refining algorithms, expanding user outreach, and incorporating user feedback to ensure the platform remains at the forefront of fostering genuine connections among adults.
This repository has no readme, or GitHub could not be reached.
Analysis
View
Metric
- 3
Figures cover GitHub contributors during the hackathon window. A co-authored commit counts in full for each author, so per-member totals add up to more than the whole-team figures.
Technology
- CSSIn code
- HTMLIn code
- JavaScriptIn code
- ReactClaimed
3 of 4 appear in the indexed code. 1 claimed on Devpost could not be matched to code, which may simply mean the tool leaves no trace in the repository.
AI coding agents
No AI coding agent signals were found in this repository.
Detected from committed agent config files and commit authorship. Absence of a signal is not proof an agent was unused.
Codebase size
Source size
2.4 KB
Source files
3
Counts recognized source files only; vendored directories, binaries and lockfiles are excluded, so this is smaller than the repository on disk.
Repository
kdaga81/treehacks
12 files · 631 KB · @ abe747e
Structure
Interface
2 files · 17%Screens, components and styles rendered to the user.
Application logic
1 file · 8%Domain rules, services and shared utilities.
Supporting
Layers are inferred from where files sit in the tree, not from reading the code. A project that names its directories unconventionally will read oddly here — open the file browser to check anything the diagram implies.
Languages
- JavaScript56%
- CSS28%
- HTML17%
Share of indexed source by file size. Binary and vendored files are excluded.
This project’s features have not been analysed yet.
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