The problem PolygonZKruit-Connecting Talent solves

PolygonZKruit is a decentralized job platform connecting skilled professionals with Web3 opportunities on Polygon zkEVM, streamlining hiring and skill verification through blockchain technology.

PolygonZKruit addresses several key challenges in the Web3 job market:

Talent-Opportunity Mismatch: It connects skilled professionals directly with relevant Web3 projects on Polygon zkEVM, reducing the gap between talent supply and demand.
Skill Verification: The platform leverages blockchain technology to verify skills and credentials, enhancing trust and reducing fraud in the hiring process.
Ecosystem Growth: By facilitating easier access to talent, it helps accelerate the growth of the Polygon zkEVM ecosystem.
Decentralized Hiring: It removes intermediaries, making the hiring process more efficient and cost-effective for both employers and job seekers.
Cross-chain Compatibility: With built-in asset bridging, it allows seamless transactions between Ethereum and Polygon zkEVM networks.
Privacy and Security: Utilizing zkEVM technology, it ensures user data privacy while maintaining transparency in transactions and verifications.

Challenges we ran into

1. Wallet Integration Issues

One of the significant challenges was integrating the MetaMask wallet seamlessly. Initially, users faced difficulties with wallet connection and authorization due to outdated dependencies and incorrect configuration of the MetaMask API.

Solution: We updated all dependencies to their latest versions and thoroughly reviewed the MetaMask integration documentation. Implementing error handling and user prompts also improved the connection process, ensuring a smooth user experience.

2. Network Switching Bugs

Switching between the Polygon zkEVM Mainnet and Cardano Testnet presented issues where the selected network wasn't properly reflecting in the application, causing transaction failures and confusion.

Solution: We resolved this by implementing a robust state management system using Redux. This ensured the network state was correctly maintained across the application, providing real-time updates and feedback to the users.

3. Real-time Job Listings

Fetching job details in real-time posed a challenge due to the asynchronous nature of blockchain data retrieval. This resulted in slow response times and occasional timeouts.

Solution: We optimized our backend to handle asynchronous requests more efficiently and introduced loading spinners to keep users informed while data was being fetched. Additionally, caching frequently accessed job data reduced the load on the server.

4. Skill Verification with Blockchain Credentials

Verifying skills against blockchain-based credentials was complex due to the varying formats and standards of credentials stored on the blockchain.

Solution: We developed a standardized verification protocol that could interpret and validate different credential formats. By implementing a modular verification system, we ensured flexibility and scalability for future enhancements.