Project Info

Winner

Best Use of XRP Ledger

Skill Chain

Devpost

This project did not submit a demo video on Devpost.

Inspiration

The inspiration for Skill Chain came from the desire to create a more efficient and serious job application process. We wanted to reduce spam and ensure that applicants are genuinely interested in the positions they apply for. The concept is similar to Tinder, but with a twist - it’s for job applications!

What it does

Skill Chain is a blockchain-based platform where users pay to apply for jobs. The application fee is automatically deducted when a user decides to apply for a job. If the applicant is not selected (left-swiped by the recruiter), the money is refunded. This innovative approach reduces spam and ensures that only serious candidates apply.

How we built it

We built Skill Chain using the XRP Ledger for blockchain transactions and smart contracts, ensuring a secure and transparent process. The backend REST API was developed using Java Spring Boot, providing robust and scalable server-side software. For the frontend, we used the Angular framework to create a user-friendly interface.

Challenges we ran into

Implementing the blockchain transactions and smart contracts on the XRP Ledger was a significant challenge due to its complexity. Additionally, integrating the frontend with the backend while ensuring data consistency and security was also a hurdle we had to overcome.

Accomplishments we're proud of

We’re proud of developing a unique solution that addresses a real-world problem. The successful integration of different technologies (blockchain, backend, and frontend) to create a cohesive platform is a significant achievement for us.

What we learned

Through this project, we learned about the practical implementation of blockchain technology and smart contracts. We also gained experience in backend and frontend development, and how to integrate them effectively.

What's next

The next step for Skill Chain is to incorporate more advanced features, such as AI-based matching of applicants to jobs. We also plan to expand our user base and collaborate with more companies to offer a wider range of job opportunities.

Analysis

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No commits on this project resolved to a GitHub account.

Technology

Found in codeClaimed only
  • AngularIn code
  • CSSIn code
  • ExpressIn code
  • HTMLIn code
  • JavaIn code
  • JavaScriptIn code
  • TypeScriptIn code
  • MongoDBClaimed
  • RedisClaimed

7 of 9 appear in the indexed code. 2 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

101 KB

Source files

85

Counts recognized source files only; vendored directories, binaries and lockfiles are excluded, so this is smaller than the repository on disk.

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