Midnight dapp BrainFit Game

[Proposal setup] Proposal title

Please provide your proposal title

Midnight dapp BrainFit Game

[Proposal Summary] Time

Please specify how many months you expect your project to last

3

[Proposal Summary] Translation Information

Please indicate if your proposal has been auto-translated

No

Original Language

en

[Proposal Summary] Problem Statement

What is the problem you want to solve?

privacy utility tradeoff in dementia patient, without fearing leak of their data to public

[Proposal Summary] Supporting Documentation

Supporting links

• https://github.com/mwihoti/Midnight-brainfit
,
• https://www.businessresearchinsights.com/market-reports/brain-training-software-market-108745
,
• https://pmc.ncbi.nlm.nih.gov/articles/PMC10603562/
,
• https://brainfit.vercel.app/

[Proposal Summary] Project Dependencies

Does your project have any dependencies on other organizations, technical or otherwise?

No

Describe any dependencies or write 'No dependencies'

No dependencies

[Proposal Summary] Project Open Source

Will your project's outputs be fully open source?

Yes

Please provide here more information on the open source status of your project outputs

BrainFit deliverables will be fully open-source and released under the MIT License.

[Theme Selection] Theme

Please choose the most relevant theme and tag related to the outcomes of your proposal

Healthcare

[Campaign Category] Category Questions

What is useful about your DApp within one of the specified industry or enterprise verticals?

Midnight BrainFit provides a privacy-preserving cognitive therapy tool for dementia patients and their caregivers. Today, most dementia apps store patient data on centralized servers, creating fear of:

• data leaks
• misuse of personal memories / cognitive scores
• surveillance
• loss of patient dignity

Midnight BrainFit solves this by bringing healthcare + privacy together.

• Patients can play memory and puzzle games to improve cognitive abilities.
• All performance data is private-by-default, secured by Midnight Compact Contracts + ZK proofs.
• Caregivers can view patient progress only with permission via zero-knowledge proof access.
• No data ever becomes public or leaks to third parties.
• Healthcare providers gain a trustable tool that cannot compromise patient identity.

This makes it a safe digital therapy tool for vulnerable patients.

What exactly will you build? List the Compact contract(s) and key functions/proofs, the demo UI flow, Lace (Midnight) wallet integration, and your basic test plan.

Compact Contracts

Contract: BrainFitCompact

Key functions :

1. submitResult(gameType, score, proof) 1. Stores score privately 2. Verifies ZK proof that: 3. “score belongs to this patient and was generated legitimately”
2. authorizeCaregiver(caregiverAddress, zkApprovalProof) 1. Patient gives limited private view permissions
3. getPatientStats(proof) 1. Caregiver retrieves only what is allowed 2. Zero-knowledge protected
4. revokeAccess(caregiverAddress) - Remove caregiver’s view rights

Demo ui flow

• Connect Lace Wallet
• Choose Game Mode:
• Memory Game
• Puzzle Sequence Game
• Play Game- Score processed privately on Midnight
• Patient Dashboard -Private stats
• Caregiver Dashboard: - See authorized patient progress - Can give recommendations Cannot access any private data beyond score analytics
• Lace Wallet Integration
  • Wallet connect for identity
  • Sign ZK proofs
  • Store encrypted game state
  • Use Lace for testnet deployments

How will other developers learn from and reuse your repo? Describe repo structure, README contents, docs/tutorials, test instructions, and extension points. Which developer personas benefit, and how will you gauge impact (forks, stars, issues, remixes)?

Developers benefit by learning:

• Building privacy-first healthcare dApps
• Implementing ZK proofs in real applications
• Using Midnight Compact Contracts for sensitive data
• Integrating games with wallet authentication

Developer Personas

• Web3 healthcare innovators
• Compact contract learners
• Students building privacy systems
• Game developers experimenting with ZK proofs
• Cardano/Midnight builders

Repo Structure

/contracts

• brainfit.compact (main compact contract)

/frontend

• Next.js game UI

• Lace wallet integration

/tests

• contract unit tests

• E2E tests

/README.md

• Project overview

• Architecture

• How to run locally

• How ZK privacy is implemented

• How to extend (custom games, more analytics)

Docs & Tutorials

• How to deploy on Midnight testnet
• How to write ZK-protected health dApps
• How BrainFit game engine works

Impact Measurement

• GitHub stars
• Developer forks
• Developers using the base contract for healthcare apps
• PRs adding new games / extensions

[Your Project and Solution] Solution

Please describe your proposed solution and how it addresses the problem

Dementia apps leak patient information or store cognitive data in insecure places. This breaks trust for patients and caregivers.

Midnight BrainFit uses privacy-by-design principles:

• All cognitive results stored inside Midnight private data layer
• Zero-knowledge proofs ensure only authorized caregivers can see patient progress
• Patients gain a safe, stigma-free way to train their memory
• Caregivers get actionable insights without exposing patient identity
• No third-party servers can access patient data

[Your Project and Solution] Impact

Please define the positive impact your project will have on Midnight ecosystem

• A flagship healthcare use case showing how Midnight enables private medical applications
• Demonstrates real-world zk use beyond finance
• Inspires developers to build their own privacy-first apps
• Positions Midnight as a trusted platform for clinical digital tools
• Expands the ecosystem into healthcare + digital therapeutics, a massive emerging market

This project will help push Midnight as the go-to chain for sensitive data applications.

[Your Project and Solution] Capabilities & Feasibility

What is your capability to deliver your project with high levels of trust and accountability? How do you intend to validate if your approach is feasible?

I'm a ful-stack developer with hands on experience in web3, blockchain and open source tools. I've been contributing to open source projects. Recently I've been building projects on cardano ecosystem, which made me get intrigued to midnight. I can deliver all core components ;- smart contracts, the game interface, API layer, and wallet integration - using TypeScript, React, and contract engineering best practices.

https://github.com/mwihoti

https://www.linkedin.com/in/daniel-mwihoti-3aaa652b9/

[Final Pitch] Budget & Costs

Please provide a cost breakdown of the proposed work and resources

BrainFit smart contract development & ZK proofs - $USDM 3,000 - Full Minokawa (Compact) contract suite for Midnight BrainFit, encrypted game state, ZK trend proofs, permission system, 100% unit + integration tests, testnet deployment, technical documentation.

Contract API, CLI Tool & Frontend Design – $USDM 3,000 - I will develop the TypeScript contract API, a CLI tool for interacting with the contract and submitting gameplay results from the terminal, and the initial frontend design, landing page, and UX flows.

Web Frontend, Lace Wallet Integration & Deployment – $USDM 4,000 - I will deliver a polished, browser-based BrainFit interface with full Lace (Midnight) wallet integration, UI wiring to the contract API, and the final product deployment.

[Final Pitch] Value for Money

How does the cost of the project represent value for the Midnight ecosystem?

The main cost of this project is development time: turning the BrainFit concept into production-grade Midnight ZK circuits, writing clean Minokawa contracts, integrating Lace wallet, and producing crystal-clear tutorials.Hosting costs are minimal

What the ecosystem gets from my work goes beyond a single app. By the end of the project, Midnight gains:

• a polished, verifiably fair cognitive game that people can actually play privately on Midnight,
• a full Compact + zk integration example that other developers can copy or extend,
• ready-made reusable patterns for “private state + zk proof + public result” applications, especially in healthcare,
• tutorial-style documentation that can be reused for onboarding, hackathons, or developer workshops.

In short, this budget isn’t just about building BrainFit :- it’s about creating a reusable template and teaching tool that lowers the barrier for future Midnight developers, accelerates the ecosystem, and helps others understand what “private but provable” actually looks like in a real-world health application.

[Self-Assessment] Self-Assessment Checklist

I confirm that the proposal clearly provides a basic prototype reference application for one of the areas of interest.

Yes

I confirm that the proposal clearly defines which part of the developer journey it improves and how it makes building on Midnight easier and more productive.

Yes

I confirm that the proposal explicitly states the chosen permissive open-source license (e.g., MIT, Apache 2.0) and commits to a public code repository.

Yes

I confirm that the team provides evidence of their technical ability and experience in creating developer tools or high-quality technical content (e.g., GitHub, portfolio).

Yes

I confirm that a plan for creating and maintaining clear, comprehensive documentation is a core part of the proposal's scope.

Yes

I confirm that the budget and timeline (3 months) are realistic for delivering the proposed tool or resource.

Yes

[Required Acknowledgements] Consent & Confirmation

I Agree

Yes