The problem PredictS solves

Centralized prediction markets, like traditional financial systems, suffer from opaque processes, limited accessibility, and dependency on centralized authorities for market creation and resolution. These challenges hinder trust, exclude users from diverse economic backgrounds, and fail to leverage the potential of decentralized governance and tokenized liquidity, as exemplified by platforms like Polymarket.
1.Lack of Transparency in Traditional Prediction Markets
2.Manipulated Odds and Fees
3.Trust Issues in Fund Management
4.Limited Customization for Markets
5.Lack of Community Governance
6.Cross-Chain Barriers

Challenges we ran into

Multi-Contract Deployment Issues:
Problem: Deploying and managing multiple contracts (MarketCore.sol, MarketNFT.sol, and Governance.sol) with proper inter-contract dependencies proved to be difficult, especially in a decentralized environment.
Solution: We developed a modular deployment script that sequentially deployed contracts and passed necessary dependencies like contract addresses using a shared address resolver pattern.

Cross-Chain Communication Bugs:
Problem: Ensuring seamless communication between chains, especially when using Socket Protocol for off-chain communication, created issues in syncing data between different networks.
Solution: We fixed the issue by carefully configuring endpoints, using offchainVM, and conducting extensive testing on testnets (e.g., Arbitrum Sepolia) to ensure compatibility and robustness.

Scalability Concerns:
Problem: Managing high transaction volumes without incurring high gas fees or overloading the network was a challenge, particularly for operations like placing bets and rewards distribution.
Solution: We moved non-critical computations to off-chainVM and integrated Layer 2 solutions like Arbitrum to optimize gas fees while keeping the main ledger on Ethereum for security.

Governance and Voting Mechanism:
Problem: Implementing a fair governance mechanism to avoid manipulation and ensure genuine decision-making posed a challenge, especially with voting rights and token allocation.
Solution: We implemented quadratic voting and a time-lock mechanism to decentralize the decision-making process and prevent vote manipulation.

Fee Handling Across Chains:
Problem: Synchronizing fee payments across different chains and ensuring smooth transactions without discrepancies was an issue.
Solution: We centralized fee collection on each chain using the PayloadDeliveryPlug and implemented fallback mechanisms to handle fee-related issues.