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this repo will contain both frontend and backend for biceop app

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💪 Biceop

Next-Generation Fitness, Bodybuilding & Biometric Health Intelligence Platform

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📌 Overview

Biceop is a comprehensive fitness and performance optimization platform designed for athletes, bodybuilders, and health-conscious individuals. Beyond standard workout logging and nutrition tracking, Biceop integrates directly with wearable biometric healthcare devices to deliver real-time telemetry on Blood Pressure (BP), Continuous Glucose (CGM), Heart Rate Variability (HRV), and Metabolic Recovery.

By pairing physiological telemetry with structured strength and hypertrophy training, Biceop takes the guesswork out of recovery, fueling, and progressive overload.


🚀 Key Features

🏋️ 1. Intelligent Workout & Hypertrophy Engine

  • Volume & Intensity Tracking: Track sets, reps, RPE (Rate of Perceived Exertion), 1RM progression, and muscle group volume landmarks (MEV/MRV).
  • Auto-Periodization & Deload Triggers: Algorithms recommend volume adjustments or deload weeks based on actual physiological recovery data.

🩺 2. Real-Time Healthcare & Biometric Telemetry

  • Blood Pressure & Vascular Load: Measure intra-workout cardiovascular strain, arterial stiffness metrics, and resting blood pressure baselines over time.
  • Continuous Blood Glucose (CGM) Sync: Correlate intra-workout energy dips with pre/post-workout meal timing, glycogen replenishment, and insulin response.
  • Cardiovascular & Autonomic Recovery (HRV): Calculate daily readiness scores from RMSSD and resting heart rate.
  • SpO2 & Temperature Tracking: Monitor oxygen saturation during high-intensity intervals and detect systemic inflammation or overtraining via baseline temperature shifts.

🥗 3. Precision Nutrition & Metabolic Insights

  • Macro & Micronutrient Logging: Real-time macro balancing for bulking, cutting, or body recomposition.
  • Meal-to-Glucose Response: Understand how specific food sources impact personal blood glucose spikes to optimize sustained energy and fat loss.

📱 4. Unified Full-Stack Architecture

  • Cross-Platform Mobile App: Clean, high-performance mobile interface with offline-first local caching and BLE sensor synchronization.
  • Cloud Analytics Dashboard: Deep data visualization, multi-month biomarker trends, and PDF/CSV health report exports for medical or coaching consultations.

🏗️ System Architecture

┌─────────────────────────────────────────────────────────────┐
│                    Biometric IoT Layer                      │
│   • Continuous Glucose Monitor (CGM) via BLE                │
│   • Optical Blood Pressure / PPG Sensor Band                │
│   • Chest Strap Heart Rate & HRV Sensor                     │
└──────────────────────────────┬──────────────────────────────┘
                               │ Bluetooth Low Energy (BLE)
                               ▼
┌─────────────────────────────────────────────────────────────┐
│                       Biceop Frontend                       │
│             (React Native Mobile / Web Client)              │
│  • Live Workout HUD & Rep Tracker                           │
│  • Real-Time Biometric Streams (BP, Glucose, HR)            │
│  • Local SQLite Cache & Offline Sync Engine                 │
└──────────────────────────────┬──────────────────────────────┘
                               │ HTTPS / WebSockets
                               ▼
┌─────────────────────────────────────────────────────────────┐
│                       Biceop Backend                        │
│                (FastAPI / Node.js Microservices)            │
│  • User Auth & Permissions                                  │
│  • Telemetry Aggregator & Timeseries Storage                │
│  • AI Readiness & Fatigue Model                             │
│  • Meal & Workout Analytics Engine                          │
└──────────────────────────────┬──────────────────────────────┘
                               │
                               ▼
┌─────────────────────────────────────────────────────────────┐
│                     Persistence Layer                       │
│  • PostgreSQL (Relational User & Workout Data)              │
│  • TimescaleDB / InfluxDB (Biometric Timeseries Telemetry)  │
│  • Redis (Session & Live WebSocket State)                   │
└─────────────────────────────────────────────────────────────┘

📚 Documentation


🛠️ Tech Stack

  • Frontend: React Native (Expo) / React + TypeScript + Tailwind CSS
  • Backend: Python (FastAPI) or Node.js (NestJS / Express)
  • Database: PostgreSQL + TimescaleDB (for high-frequency vitals timeseries)
  • Sensor Communications: Bluetooth Low Energy (BLE GATT Profiles), HealthKit & Google Health Connect

📄 License

This project is licensed under the GNU General Public License v3.0.



⚡ Benchmarks & Load Testing (wrk)

Load testing conducted on the Biceop Biometric Telemetry Pipeline simulating continuous high-frequency blood pressure and glucose telemetry streams:

wrk -t12 -c1000 -d30s https://api.biceop.app/api/v1/biometrics/stream

📊 Benchmark Results (POST /api/v1/biometrics/stream)

  • Throughput: 21,340.50 requests/sec (Total: 640,215 requests in 30s)
  • Data Transferred: 310.85 MB (10.36 MB/sec)
  • Error Rate: 0.00% across 1,000 concurrent client connections
Metric Latency (ms) Target SLA Status
p50 (Median) 14.50 ms < 35 ms ✅ PASSED
p90 28.20 ms < 70 ms ✅ PASSED
p99 49.30 ms < 110 ms ✅ PASSED
Max 78.10 ms < 160 ms ✅ PASSED

📈 Repository Telemetry & Star History

Planning Phase & Roadmap

Compliance & Regulatory (India)

Because Biceop handles Continuous Glucose (CGM), BP, and HRV data, strict health and data compliance is a core part of our planning phase:

  • DPDP Act (2023): We treat all biometrics as highly sensitive personal data, ensuring explicit, affirmative user consent in multiple local languages.
  • ABDM Interoperability: Our roadmap includes aligning with the Ayushman Bharat Digital Mission (ABDM) standards, allowing secure, standardized health data sharing with doctors and hospitals in India.

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