It is not only a task check-in platform, but also a social learning community full of fun and challenges.
Main functions:
1. Task creation/joining:
- Task types:
- *Classic tasks: daily habit-forming tasks such as reading, learning foreign languages, and fitness.
- *Web3 tasks: Web3 skill learning tasks such as learning Solidity, understanding DeFi protocols, and participating in DAO governance.
- Challenge tasks: Periodic challenges, such as "30-day writing challenge", "7-day meditation challenge", etc.
- Custom tasks: Users can freely create tasks, set task descriptions, check-in standards, required number of staked tokens, etc.
- Task details:
- Clear task description: Describe task goals, participation requirements, check-in standards, cycles, rewards, and other information in detail.
- Tag system: It is convenient for users to search and filter tasks of interest, such as "#Reading", "#Web3", and "#Fitness".
- Preview mode: Before joining a task, users can view the information of other participants and past check-in records.
- Task matching:
- Smart recommendation: Recommend suitable tasks based on user interests and past participation records.
- Custom filtering: Users can filter by task type, difficulty, cycle and other conditions.
- Friend invitation: Users can invite friends to join the same task.
- Joining process:
- Staking tokens: Users need to stake a certain number of tokens to join the task.
- Confirming the contract: After the user joins the task, a smart contract will be signed to ensure the security of the pledged funds.
2. Daily check-in:
- Diversified check-in methods:
- Text records: Daily record of learning/practical experience and progress.
- Picture/video upload: Upload relevant photos or videos to prove the completion of the task.
- Third-party data access: Connect to health apps such as Strava and Google Fit to automatically synchronize fitness data.
- NFT voucher check-in: After the user completes the daily task, he will receive a daily check-in NFT.
- AI evaluation:
- Text evaluation based on natural language processing: AI analyzes the user's text description to determine whether the check-in requirements are met.
- Picture/video evaluation based on image recognition: AI analyzes the content of the picture/video to determine whether it meets the check-in standards.
- Data Verification: Verify whether third-party data is consistent with the task objectives.
- AI Scoring: Score each check-in, give feedback and suggestions, and help users complete tasks better.
- Check-in Reminder:
- Customized Reminder Time: Users can set a daily check-in reminder time to avoid missing a check-in.
- Push Notification: Send push notifications to remind users to check in.
- Make-up Check-in Mechanism:
- Limited number of make-up check-in opportunities: Allow users to make-up check-ins within a certain period of time, but a small amount of tokens will be deducted.
3. Peer Review (3-Peers Review):
- Review Mechanism: If a user disagrees with the AI evaluation results, he or she can initiate a review.
- Review Group: Randomly select 3 participants of the same task to form a review group.
- Review Process:
- User-provided evidence: Users can provide additional evidence, such as more detailed descriptions, pictures/videos, etc.
- Group Discussion: Review group members review the evidence submitted by users, discuss, and ultimately vote on whether to complete.
- Arbitration: If the review team disagrees, the platform will arbitrate.
- Review Rewards: Review team members can receive a small amount of token rewards.
4. Reward Distribution:
- Fund Pool: The tokens pledged by all participants constitute the fund pool of the task.
- Reward Rules:
- Full Attendance Reward: Participants who complete all check-ins will share the rewards in the fund pool.
- Partial Completion Reward: Partial rewards are allocated according to the degree of completion.
- Review Team Rewards: Review team members receive rewards based on the number of times they participate in the review.
- Transparency: Reward distribution rules, participant lists, bonus pool balances and other information are open and transparent and recorded on the chain.
- Automatic Distribution: After the task is completed, the reward is automatically distributed to the user's wallet.
- NFT Medal Reward: After the user completes the entire cycle task, he can get an exclusive NFT medal for display.
5. Community Interaction:
- Task Chat Room: Each task has an exclusive chat room to facilitate participants to exchange learning experiences and encourage each other.
- Public discussion area: A public discussion area where all users can participate, share experiences and make suggestions.
- Ranking list: A ranking list is generated based on data such as the number of completed tasks and the length of time participated.
- Social sharing: Users can share their check-in results and task achievements on other social media.
- Follow system: Users can follow other users to understand their task progress.
1. Conception 2. Prototype 3. UI design 4. Architecture design 5. Coding 6. Code review 7. Deployment