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mint-build

byALOK KUMAR

Build a fully functional, production-quality web app called **MindWave**. ## PRODUCT MindWave is an adaptive cognitive-training platform combining neurofeedback, gamification, cognitive games, analytics, and personalized training. Core loop: **Measure → Analyze → Adapt → Train → Measure again** Target users: students, professionals, biohackers, gamers, developers, and people interested in improving focus and cognitive performance. Do NOT make medical, diagnostic, disease-treatment, or unsupported health claims. Brain-derived values must be described as estimates. ## DESIGN Create a premium futuristic interface inspired by Apple, modern AI products, and neurotechnology. Dark mode by default, subtle gradients/glows, glassmorphism, rounded cards, clean typography, smooth animations, excellent spacing, responsive desktop/tablet/mobile design. Navigation: * Dashboard * Train * Games * Brain Signals * Progress * Insights * Profile * Settings ## AUTH + ONBOARDING Implement real authentication with signup, login, logout, password reset, persistent sessions, and profile creation. Onboarding asks: 1. Main goals: Focus, Attention, Memory, Reaction Speed, Mental Flexibility, Relaxation, General Cognitive Performance. 2. Experience: Beginner / Intermediate / Advanced. 3. Training time: 5 / 10 / 15 / 20+ minutes. 4. EEG device: Yes / No / Not sure. Generate a personalized initial training profile. ## DASHBOARD Create a polished dashboard with: * Greeting * Today's Focus Estimate * Personal baseline comparison * Training streak * Today's mission * Cognitive snapshot * Weekly progress chart * Personalized insight * Start Training button Metrics can include: * Attention estimate * Engagement estimate * Relaxation estimate * Reaction consistency * Memory performance * Training consistency Always label brain-derived metrics as estimates. ## ADAPTIVE ENGINE Build a reusable **MindWave Adaptive Engine**. Inputs: historical performance, score, accuracy, reaction time, difficulty, session duration, estimated cognitive state, user goals. Outputs: next difficulty, recommended game, training duration, training focus, recovery recommendation. Logic: * Strong performance → gradually increase difficulty. * Weak performance → slightly reduce difficulty. * Unstable performance → maintain difficulty and recommend recovery. * Never make sudden/extreme difficulty changes. Store adaptation decisions. ## EEG / NEUROFEEDBACK Create a Brain Signals page with: * Device status * Connection status * Signal quality * Live waveform * Estimated attention * Estimated engagement * Estimated relaxation * Delta/Theta/Alpha/Beta/Gamma visualization when data supports it Create a device abstraction layer so different EEG devices can be integrated later. IMPORTANT: If no physical EEG is available, implement **Demo/Simulation Mode** that generates synthetic signal data. Clearly display **SIMULATION — NOT REAL EEG DATA**. The entire application must work without hardware. ## GAMES Create at least 5 fully playable games: 1. **Focus Flow** — maintain stable performance while controlling a moving object. 2. **Memory Matrix** — remember and reproduce increasingly complex patterns. 3. **Reaction Pulse** — react to targets; measure reaction time, accuracy, consistency. 4. **Cognitive Switch** — rapidly switch rules such as color/shape classification. 5. **Calm Core** — interactive relaxation/focus experience influenced by estimated state or simulated data. Every game must report: score, accuracy, reactionTime, difficulty, duration, mistakes, completionRate. Games must use adaptive difficulty. ## TRAINING Every training session stores: * User * Game * Duration * Score * Accuracy * Reaction time * Difficulty * Cognitive estimates * Signal quality * Timestamp Session flow: Start → Train → Adaptive difficulty → Results → Save → Update progress → Recommendation. ## PROGRESS Create analytics for: * Focus * Reaction time * Memory * Consistency * Session duration * Difficulty progression * Personal bests Time filters: 7 days / 30 days / 90 days / All time. Prioritize comparison against the user's own baseline rather than arbitrary population averages. ## INSIGHTS Create an AI-style insights page based ONLY on stored user data. Examples: "Your attention stability improved over your last 5 sessions." "You perform most consistently during shorter sessions." Never invent statistics. If insufficient data: "Complete more sessions to unlock personalized insights." ## GAMIFICATION Implement: * XP * Levels * Training streaks * Achievements * Personal records * Daily missions * Weekly goals Achievements: First Session, 7-Day Streak, Focus Explorer, Reaction Master, Memory Builder, Consistency Champion. ## DAILY MISSION Generate a personalized daily mission based on previous performance. Example: "Today's Mission: Stabilize — 7 minutes — Improve attention consistency." Mission progress must update from real training data. ## PROFILE Show: name, avatar, goals, level, XP, streak, total sessions, total training time, personal records. ## SETTINGS Include: account, notifications, privacy, data export, connected devices, theme, accessibility, delete account. ## DATABASE Use a proper relational database. Tables/entities: users user_preferences devices games training_sessions cognitive_metrics achievements user_achievements daily_missions insights Use proper relationships, indexes, validation, and user-level data isolation. ## API / ARCHITECTURE Create modular services for: auth, users, devices, games, sessions, metrics, progress, insights, missions, achievements. Separate: UI business logic database access adaptive engine device integrations. Use TypeScript and React/Next.js or the strongest equivalent stack supported by the platform. Use real persistence, not local-only fake state. ## LANDING PAGE Create a premium landing page. Hero: **Train Your Focus. Understand Your Mind.** Subtitle: "MindWave combines adaptive cognitive training, neurofeedback, and gamification to create a personalized training experience." Sections: How It Works, Neurofeedback, Adaptive Training, Games, Progress, Insights, Devices, FAQ, CTA. CTA: **Start Training** ## SESSION RESULTS After each session show: * Score * Accuracy * Reaction time * Difficulty * Duration * Change vs personal baseline * Short data-based explanation * Next recommended session Buttons: Train Again / View Progress. ## UX Add polished but subtle: hover effects, transitions, chart animations, XP animations, achievement unlocks, session completion animation. Implement loading states, empty states, error states, reconnect states, and responsive layouts. ## SECURITY + PRIVACY Use secure authentication, authorization, validation, protected APIs, and user data isolation. Treat brain/device data as sensitive personal data. Provide data export and deletion. ## DEMO DATA Provide realistic seed/demo data for dashboards and charts, clearly labeled as demo data. ## FINAL REQUIREMENT DO NOT build a static mockup. Build a genuinely functional application. Every major button must work. Games must actually be playable. Authentication must work. Data must persist. Sessions must save. Progress must update. Achievements must unlock. Daily missions must update. Adaptive difficulty must function. Demo EEG must stream simulated data. Navigation must work. Mobile layout must work. Test the complete user flow: Signup → Onboarding → Dashboard → Start Training → Play Game → Complete Session → Save Results → Update Progress → Unlock Achievement → Generate Insight → Start Next Mission. Fix runtime errors, broken navigation, empty states, and obvious UI issues before completing the build. Brand: **MindWave** **Train Your Focus. Understand Your Mind.**

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System Requirements

System Requirement Document
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System Requirements Document for MindWave

Introduction

MindWave is an adaptive cognitive-training platform combining neurofeedback, gamification, cognitive games, analytics, and personalized training. This document outlines the system requirements for building a fully functional, production-quality web application called MindWave.

System Overview

MindWave aims to enhance cognitive performance through personalized training and adaptive difficulty. The platform targets students, professionals, biohackers, gamers, developers, and individuals interested in improving focus and cognitive performance. It is crucial to avoid making medical, diagnostic, disease-treatment, or unsupported health claims. Brain-derived values must be described as estimates.

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Product Interpretation and Delivery Boundary

  • Domain Descriptors:

    • Adaptive Cognitive Training: The platform is designed to enhance cognitive performance through personalized training and adaptive difficulty.
    • Neurofeedback Integration: Incorporates EEG data for real-time feedback and training adaptation.

  • What is being built:

    • A web application with a premium futuristic interface inspired by Apple, modern AI products, and neurotechnology.
    • Features include dark mode by default, subtle gradients/glows, glassmorphism, rounded cards, clean typography, smooth animations, and responsive design.

  • Excluded Assumptions:

    • No medical, diagnostic, or disease-treatment claims.

  • Access:

    • Application-owned identity with secure authentication and authorization.

  • Behavior Contracts:

    • User Onboarding: Personalized initial training profile creation upon user signup and onboarding completion.
    • Adaptive Training Session: Updates training difficulty and records session results.
    • System Management: Administrator manages user data and system settings.
    • MindWave Adaptive Engine Decision: Determines next difficulty, recommended game, and training focus.
    • EEG Device Abstraction Layer: Standardizes EEG data stream for different devices.
    • EEG Demo/Simulation Mode: Provides synthetic EEG data when no physical device is available.
    • Games Use Adaptive Difficulty: Adjusts game difficulty based on user performance.
    • Progress Analytics Generation: Provides analytics for focus, reaction time, memory, and more.
    • AI-Style Insights Generation: Generates personalized insights based on user data.
    • Gamification Engine: Updates XP, levels, training streaks, and achievements.
    • Show Personal Baseline Comparison: Visual comparison of current metrics to user's baseline.
    • Show Cognitive Snapshot: Summary of current cognitive state estimates.
    • Start Training From Dashboard: Initiates training session from the dashboard.
    • Show Live EEG Waveform: Visualizes live EEG waveform.
    • Show Estimated Attention, Engagement, Relaxation: Displays estimated cognitive metrics.
    • Show EEG Band Visualization: Visualizes EEG bands if data supports it.
    • Play Games: Includes Focus Flow, Memory Matrix, Reaction Pulse, Cognitive Switch, and Calm Core.
    • Report Game Session Metrics: Records game session metrics.
    • Store Training Session Data: Stores data for each training session.
    • Apply Progress Time Filters: Filters progress analytics by time range.
    • Generate Personalized Daily Mission: Creates daily missions based on user performance.
    • Update Daily Mission Progress: Updates mission progress based on training data.
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Page Content and Component Coverage

  • Dashboard:

    • Greeting
    • Today's Focus Estimate
    • Personal baseline comparison
    • Training streak
    • Today's mission
    • Cognitive snapshot
    • Weekly progress chart
    • Personalized insight
    • Start Training button

  • Train:

    • Primary training interface with adaptive difficulty settings.

  • Games:

    • Access to cognitive games with adaptive difficulty.

  • Brain Signals:

    • Device status, connection status, signal quality, live waveform, and cognitive estimates.

  • Progress:

    • User progress tracking and analytics with time filters.

  • Insights:

    • AI-style insights based on stored user data.

  • Profile:

    • User profile and personal records.

  • Settings:

    • User account and application settings.

  • Landing Page:

    • Initial user engagement with hero section, subtitle, sections, and CTA.

  • Session Results:

    • Post-session performance summary with metrics and recommendations.
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Functional Requirements as Story Points

  • As a user, I want to sign up and complete onboarding questions to receive a personalized initial training profile. explicit
  • As a user, I want to start a training session and receive updated training difficulty and session results. explicit
  • As an administrator, I want to manage user data and system settings. required_inference
  • As an application, I want to determine the next difficulty, recommended game, and training focus based on user performance. explicit
  • As an application, I want to provide a standardized EEG data stream for different devices. explicit
  • As an application, I want to provide synthetic EEG data when no physical device is available. explicit
  • As an application, I want to adjust game difficulty based on user performance. explicit
  • As an application, I want to generate analytics for focus, reaction time, memory, and more. explicit
  • As an application, I want to generate personalized insights based on user data. explicit
  • As an application, I want to update XP, levels, training streaks, and achievements. explicit
  • As a user, I want to view a visual comparison of current metrics to my baseline on the dashboard. explicit
  • As a user, I want to view a summary of my current cognitive state estimates on the dashboard. explicit
  • As a user, I want to start a training session from the dashboard. explicit
  • As a user, I want to view a live EEG waveform on the Brain Signals page. explicit
  • As a user, I want to view estimated attention, engagement, and relaxation metrics on the Brain Signals page. explicit
  • As a user, I want to view EEG band visualization if data supports it. explicit
  • As a user, I want to play games like Focus Flow, Memory Matrix, Reaction Pulse, Cognitive Switch, and Calm Core. explicit
  • As an application, I want to record game session metrics. explicit
  • As an application, I want to store data for each training session. explicit
  • As a user, I want to filter progress analytics by time range. explicit
  • As an application, I want to generate personalized daily missions based on user performance. explicit
  • As an application, I want to update daily mission progress based on training data. explicit
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User Personas

  • User: Primary participant in cognitive training.
  • Administrator: Management of user data, content, and system settings.

Core User Flows

  1. Signup and Onboarding:

    • User signs up and completes onboarding questions.
    • System generates a personalized initial training profile.

  2. Dashboard Interaction:

    • User views dashboard with metrics and insights.
    • User starts training session from the dashboard.

  3. Training Session:

    • User engages in training with adaptive difficulty.
    • System records session data and updates progress.

  4. Game Play:

    • User selects and plays a cognitive game.
    • System adjusts game difficulty and records metrics.

  5. Progress and Insights:

    • User views progress analytics with time filters.
    • System generates AI-style insights based on user data.

  6. Daily Mission:

    • System generates a personalized daily mission.
    • User completes training session to update mission progress.
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Visuals Colors and Theme

  • Primary: #1A1A1A (Dark mode background)
  • Primary Light: #2E2E2E (Lighter tint for hover states)
  • Secondary: #FFFFFF (Text and icons)
  • Accent: #FF4081 (CTAs and active states)
  • Highlight: #00E676 (Notifications and active indicators)
  • BG: #121212 (Page background)
  • Surface: #1E1E1E (Card/panel background)
  • Text: #FFFFFF (Primary text/heading)
  • Text Muted: #B0BEC5 (Secondary text, labels)
  • Border: #37474F (Subtle border color)

Signature Design Concept

The design concept for MindWave is a premium futuristic interface inspired by Apple and modern AI products. The interface will feature dark mode by default, with subtle gradients and glows to create a sense of depth. Glassmorphism will be used for card elements, providing a modern and sleek look. Typography will be clean and easy to read, with smooth animations enhancing the user experience. The layout will be responsive, ensuring optimal viewing on desktop, tablet, and mobile devices.

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Interaction Model & Motion Direction

The interaction model for MindWave will be animated, with moderate scroll-triggered reveals and hover transitions. Interactive elements will feature spring physics for a polished feel. The dashboard will serve as the central hub, with smooth transitions between sections. The design will prioritize clarity and ease of use, with animations enhancing the overall experience without overwhelming the user.

Non-Functional Requirements

  • Security: Secure authentication, authorization, validation, protected APIs, and user data isolation.
  • Privacy: Treat brain/device data as sensitive personal data, with data export and deletion options.
  • Performance: Responsive design with smooth animations and transitions.
  • Accessibility: Ensure the application is accessible to users with disabilities.
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Process: administrator manages user data and system settings
Process: updated user profiles and system settings adjustments applied

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Completed design pages will appear here when they are ready to preview.

Process: administrator manages user data and system settings
Process: updated user profiles and system settings adjustments applied