Introduction

Fundora=Fund+Aurora

Fundura is a Web3 crowdfunding learning platform to re-skill for the future with AI, Web3 and more. Fundura means Fund+Aurora. We hope that in a time of transition, Fundura can shed a light for those who want to learn a new skill in 6 months, and invest in others learning to earn. In Fundora, learners can crowdfund to learn certified skills in 1-6 months and get paid opportunities. Investors can invest in learners to earn money and affordable service, and access reliable talent pools for the future.

Tendencies:

1. Career flexibility and life-long learning: People switch their jobs every 2-3 years. As AI in all areas develop, people will need more flexibility to create their own career.

2. Smaller collaboration units: Emerging indie developers and mini-teams that are empowered by AI.

3. Small enterprises need reliable and affordable talent pools for decent work.

For Learners:

University Education & Professional Certificates:

• Need 2-5 years

• High cost: student loans or a lot of money

• Knowledge-application gap

Fundora

• 1 week to 6 months to develop a skill

• No student loans. Get funding immediately. Learn real-world skills faster. Get paid for the skills.

• Learn to earn:

  • More motivated because of expectations shown in actual support

  • Projects done for learning as NFT

For Investors:

Personal investors: Get cheaper service and earn money.

Educational Agencies: Need more paid learners and a better reputation of learning outcomes.

Companies and indie developers: Need a talent pool of capable developers with lower cost.

Policy makers: Lower unemployment rates. Vocational education policy, career certificate compensations.

Fundora Ecosystem

• Partners

  • The project potentially collaborates with 150 ecosystem partners of Edu Chain, provide values to 900k Open Campus ID holders.

• Growth

  • Learners -> Talent Pool -> Mentors

  • Investors -> Employers -> Enterpreneurs

• Benefits

  • This ecosystem benefits both learners and partners, creating a win - win situation

Funding Models

Shared Learning Investment Model

1、Funding Ratio

In this model, 50% of the course fee is self-funded by the learner, and the other 50% is funded by investors. This sharing mechanism reduces the financial burden on learners.

2、Fee Sharing

Upon course completion, those who complete the course share the fees of uncompleted learners, which are distributed based on the investment ratio. This encourages learners to complete the courses and rewards investors.

3、Investor Returns

Investors can get returns in two ways.

Firstly, the learner shares a percentage of their income for the first month after using the new skills. 

Secondly, learners can provide services to investors, such as psychological consultations or personal training lessons.

4、Advantages

This model combines the efforts of learners and investors, promoting a more sustainable learning and investment environment.

Fully Crowdfunded Model

1、Full Funding

In the fully crowdfunded model, 100% of the course fee is covered by investors. This is a great opportunity for learners who have no financial resources to start learning.

2、Fee Sharing

Similar to the shared learning investment model, upon completion, completed learners share the fees of uncompleted learners. This also creates an incentive for learners to finish the courses.

3、Investor Returns

Investors receive returns in the form of a percentage of the learner's income in the first three months after skill utilization. Investors get lower cost services from learners.

4、Suitability

This model is more suitable for learners with high - potential skills but limited financial means.

Tech Map

Dynamic NFT Learning Passport

• Achievements

  • The dynamic NFT learning passport is like a growing digital badge that contains personal records. It can visualize personal achievements, such as course completions, skill improvements, and awards.

• Job Hunting

  • In the job - hunting process, employers can verify the badges on the learning passport, which helps prevent fake resumes. It provides a reliable way for employers to assess the skills and qualifications of candidates.

• Investment

  • Investors can assess the learning history of learners before funding their skill growth. The learning passport includes personal skill assessments, which gives investors more information to make investment decisions.

• Credibility

  • It links with Ant Credit Score for credibility. New users must complete an assessment to establish a baseline record, which ensures the authenticity and reliability of the information in the learning passport.

Smart Contract - Powered Crowdfunded Learning

• Decentralization

  • This feature uses decentralized crowdfunding and automated revenue distribution through smart contracts. It eliminates the need for intermediaries, reduces costs, and increases the efficiency of the crowdfunding process.

• Models

  • There are two smart contract models:Model 1 is 50% self - funded + 50% crowdfunded, and Model 2 is 100% crowdfunded. These models provide different options for learners and investors according to their needs.

• Social Engagement

  • It has social engagement features. For example, learners can get a 20% gas fee reduction when they invite three friends to learn together. This encourages social interaction and promotes the spread of the platform.

• Guaranteed Earnings

  • The smart contract ensures transparency in the crowdfunding and revenue - the earnings are guaranteed automatically, making it more trustworthy for both learners and investors.

On - Chain Credit Evaluation

• DID Integration

  • On-chain credit evaluation integrates decentralized ID (DID). Learners must link their Edu Chain Open Campus ID to aggregate cross - platform learning records, which provides a comprehensive view of their learning behavior.

• Credit Scoring

  • It has a transparent credit scoring system that evaluates course completion rates, community engagement, and investor commitment fulfillment. This scoring system helps investors and partners assess the reliability of learners.

• Trust

  • The on - chain credit evaluation system builds trust in the platform. It encourages learners to perform well in courses and fulfill their commitments, and also gives investors more confidence in funding learners.

• Application

  • The credit evaluation results can be used in various aspects, such as course enrollment, investment decisions, and partnership opportunities.

Contract Design

CourseCrowdfunding.sol:

• Crowdfunding Process Management: Handles course definition, student-initiated crowdfunding campaigns, ETH investment reception, determination of crowdfunding outcomes (success/failure), and fund distribution to course creators.

• NFT Minting Trigger: When a crowdfunding campaign succeeds, triggers the CourseNFT contract to mint NFTs and import investor information.

CourseNFT.sol:

• NFT Lifecycle Management: Complies with the ERC721 standard, responsible for actual NFT minting, ownership transfers, and metadata management (content hash, progress).

• Sales and Revenue Distribution: Handles NFT listings and purchases (using ETH). For the first sale, automatically distributes ETH proceeds to original investors according to predefined ratios.

Our Team

• Jingyu

  • Jingyu Sui earned her masters degree at New York University in Games for Learning. She is a co-founder of IceToad Studio. She is passionate about empowering game developers to create games for healing and growth, and ultimately, a better future.

• Yuheng

  • It has a transparent credit scoring system that evaluates course completion rates, community engagement, and investor commitment fulfillment. This scoring system helps investors and partners assess the reliability of learners.

• Yulin Zhu

  • Web3 and game developer. Worked for game with 2000k users.

• Chen Zhengjian

  • Beijing University of Aeronautics and Astronautics. Core member of the robot algorithm team at Samsung Electronics Research Institute. I am good at motion control algorithms and embedded development of robots, and has rich experience in robot product development.

• Wang Anying

  • Current student at Xiamen University, specializing in marketing and product strategy within team environments. Awarded championship in the BYD Marketing Competition.Independently operates a personal media account with 280,000+ accumulated followers across platforms. Executed marketing campaigns for 200+ global brands including Huawei, Apple, and Starbucks and so on.