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6 Tem 2025 Pzr 22:09 tarihinde Brando Banks via OpenAI Developer Community <notifications@openai1.discoursemail.com> şunu yazdı:

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SRS: Project NeuroAthletics (v0.1.1 - Public Blueprint)

DOCUMENT PREAMBLE: For Public Distribution

This document outlines the software requirements and architectural concepts for Project NeuroAthletics. It has been prepared for public discussion and collaborative development. All names, service endpoints, and data structures related to any specific proprietary backend system have been generalized or abstracted to protect intellectual property. The design patterns shown (e.g., Service Broker, Event Store) are industry-standard concepts and do not reflect the unique implementation of any private ecosystem.

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║ :brain: SRS: Project NeuroAthletics (v0.1.1) - Emotional Biofeedback via AR :person_running:‍ ║

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║ I. INTRODUCTION & SYSTEM OVERVIEW ║

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║ 1.1. Summary: This document defines the Software Requirements Specification (SRS) for Project NeuroAthletics, a system designed to ║

║ provide real-time emotional and biomechanical feedback to athletes using biometric sensors and an Augmented Reality (AR) ║

║ interface. It aims to enhance performance and accelerate skill acquisition by creating a closed-loop biofeedback system. ║

║ 1.2. Purpose: To formalize the functional and non-functional requirements for the NeuroAthletics prototype, enabling targeted ║

║ development of its core services and APIs. ║

║ 1.3. Scope: The scope of this SRS covers the data schemas, core backend services, and high-level interaction patterns for the ║

║ NeuroAthletics prototype (v1.0). It does not include detailed UI/UX wireframes or specific ML model implementations. ║

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║ II. SYSTEM ARCHITECTURE & CORE FUNCTIONS ║

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║ 2.1. System Name: NeuroAthletics System ║

║ 2.2. Primary Role: To serve as a psycho-emotional and biomechanical feedback loop system. It observes an athlete’s physical and ║

║ mental state in real-time, interprets the data, and provides immediate, actionable feedback via an AR interface. ║

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║ 2.3. Core Functions: ║

║ 1. Sensor Data Ingestion: Securely stream data from biometric and environmental sensors. ║

║ 2. State Classification: Analyze sensor data to classify the athlete’s real-time emotional and physical state. ║

║ 3. State-Movement Correlation: Identify patterns between emotional states and specific athletic movements. ║

║ 4. Real-time Feedback Generation: Trigger contextual cues in the user’s AR interface based on correlated events. ║

║ 5. Backend Data Logging: Persist all correlated event data to a durable, queryable event store for post-session analysis. ║

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║ III. DEPENDENCIES & ENVIRONMENT ║

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║ 3.1. External Hardware: AR Headset (e.g., Quest Pro), Biometric Sensors (e.g., EEG, HRV), RGB Camera. ║

║ 3.2. External Software: Pose Estimation Library (e.g., MediaPipe), AR SDK, Sensor SDKs. ║

║ 3.3. Key Backend Service Dependencies (Abstracted): ║

║ - Service Broker: A central service responsible for dependency injection and providing access to other shared services. ║

║ - Data Persistence Service / Event Store: For creating and managing the neuro_athletics_log event log. ║

║ - Metadata Service: For logging structured metadata about training sessions. ║

║ - Secrets Manager: For securely handling any required API keys or credentials. ║

║ - User Interaction Layer (Upstream): A conversational UI (like a chatbot) for post-session reflection. ║

║ - Reflective Analysis Engine (Upstream): An AI service that can analyze historical log data for deeper insights. ║

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║ IV. FUNCTIONAL REQUIREMENTS (FR-NA-V0.1-XXX) ║

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║ System & Service Level: ║

║ - FR-NA-SYS-001: The system SHALL expose its backend services via a well-defined API Gateway (e.g., using FastAPI). ║

║ - FR-NA-SYS-002: All backend services SHALL be designed to receive their dependencies from a central Service Broker. ║

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║ Data Ingestion & Analysis: ║

║ - FR-NA-ING-001: The system SHALL provide services to stream and pre-process raw sensor data from biometric and pose-tracking sources. ║

║ - FR-NA-CLE-001: The system SHALL provide a logic engine to receive synchronized data streams. ║

║ - FR-NA-CLE-002: The logic engine SHALL classify the user’s emotional state based on biometric data. ║

║ - FR-NA-CLE-003: The logic engine SHALL associate the classified emotional state with biomechanical events identified from pose data. ║

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║ Feedback & Data Persistence: ║

║ - FR-NA-FOM-001: The system SHALL provide an API for AR clients to subscribe to feedback events. ║

║ - FR-NA-FOM-002: The feedback event latency (from detection to API call) MUST be under 500ms. ║

║ - FR-NA-LOG-001: The system SHALL define a Pydantic schema (CorrelatedStateEvent) for storing event data. ║

║ - FR-NA-LOG-002: Upon detecting a correlated event, the system SHALL use the Data Persistence Service to log the event. ║

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║ V. ARCHITECTURAL BLUEPRINT & GENERALIZED CODE SNIPPETS ║

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yea i did one of those too once

This image shows a text document containing detailed technical requirements and protocols related to high-availability, AI model lifecycle, scalability, audit, and commercial readiness for a system. (Captioned by AI)
This image shows a text document containing detailed technical requirements and protocols related to high-availability, AI model lifecycle, scalability, audit, and commercial readiness for a system. (Captioned by AI)1441×810 87.8 KB

The image shows a section of a technical document that includes definitions of key AI and system architecture terms, followed by an ASCII-art-style logical flow diagram depicting the data flow between an AR client, backend API gateway, and core processing services in a neuroathletics system. (Captioned by AI)
The image shows a section of a technical document that includes definitions of key AI and system architecture terms, followed by an ASCII-art-style logical flow diagram depicting the data flow between an AR client, backend API gateway, and core processing services in a neuroathletics system. (Captioned by AI)1425×794 56.9 KB

NEW FRONTIER BROTHER FOR SURE BRAND NEW U GOT IT BRO

A software architecture diagram and operational protocol description for Project NeuroAthletics, focusing on deployment topology, fault tolerance, and resilience protocols for an AR-based emotional biofeedback system. (Captioned by AI)
A software architecture diagram and operational protocol description for Project NeuroAthletics, focusing on deployment topology, fault tolerance, and resilience protocols for an AR-based emotional biofeedback system. (Captioned by AI)1437×734 82.2 KB

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