> For the complete documentation index, see [llms.txt](https://docs.fuyo.lol/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.fuyo.lol/fuyo-app/fuyo-introduction/fuyo-highlights.md).

# Fuyo: highlights

How does Fuyo solve the problems?

<figure><img src="https://content.gitbook.com/content/TUaL9Th8koAGidz64pyr/blobs/qSmuk1H1FdaR1Af1jRNU/Dashboard.jpg" alt=""><figcaption><p>Fuyo mobile app</p></figcaption></figure>

## ⚡️ **Mobile app**&#x20;

Users participate by signing up, deposit USDT, making bets, check draw results, request payout and withdrawal in USDT on mobile app or through Telegram mini-app.

## ⚡️ **Transparency**

All bets and draw results are recorded on [*BNB Chain*](/fuyo-app/fuyo-introduction/fuyo-highlights/bnb-chain.md). With this approach, there will be no dispute for any bets, payout or user’s assets. Users could view, export and in control of their own assets.

## ⚡️ **Fairness**

Fuyo uses [*CSPRNG algorithm*](/fuyo-app/fuyo-introduction/fuyo-highlights/csprng.md) for complete 100% randomness and [*Chainlink VRF*](/fuyo-app/fuyo-introduction/fuyo-highlights/chainlink.md) on-chain, providing draw results, ensuring fairness.

## ⚡️ **Security**

Fuyo employs multi-stage random security checks, to prevent reverse-engineering and hacking to create favourable draw results for bad actors.

## ⚡️ **Jackpot Hash**

Fuyo leverages blockchains native “proof-of-work” algorithm; SHA256, for 100% random results. Each user’s gaming transaction will generate a unique [*“jackpot hash”*](/fuyo-app/transparency/jackpot-hash.md). This hash is immutable, resistant to manipulation (even from the team & insider) and pure 100% randomness, creating a 100% fair results and payout.

## ⚡️ **FUYO tokens**

The platform employs a point-based reward system and distributes FUYO tokens to users based on their points accumulation. This creates an attractive loyalty rewards program while ensuring a sustainable business model.

## ⚡️ **Data-science**

With millions of data-points; from user gaming behaviours, gaming style and size, gaming history, these data will be sorted, managed and fed into the AI-recommendation system. This creates defensibility for the platform.

## ⚡️ **AI + chatGPT**

Fuyo utilises historical data from user gaming patterns to provide personalised recommendations, enhancing the overall gaming experience.

## ⚡️ **Web3 ecosystem**

3rd party platforms such data aggregator, portfolio apps or analytics could extrapolate these public data available on-chain to improve the platform into a more valuable gaming ecosystem.