Electronic Fencing Trainer: Pi + ESP32

I am developing a professional electronic fencing training system intended for gyms, clubs, and high-level training environments. The system is composed of: an electronic mannequin with multiple touch sensors and LEDs, a compact wireless sword unit, and a standalone user console based on Raspberry Pi (8 GB RAM) with a touch display. The mannequin and the sword unit are based on ESP32-class microcontrollers (Adafruit Feather and QT Py) and communicate wirelessly in real time with the Raspberry Pi console. This project aims to build a fully independent training machine, comparable in concept to professional sport ergometers, without requiring a smartphone or tablet for normal operation. System Architecture Electronic Mannequin ESP32-based (Adafruit Feather), handling sensors, LEDs, and training logic. Wireless Sword Unit Ultra-compact ESP32 (QT Py), handling hit detection and wireless communication. Standalone Console Raspberry Pi (8 GB with HDMI touch display, responsible for: graphical user interface (GUI), session management, data processing, local storage, cloud synchronization. Cloud Backend Used for data storage, statistics, rankings, and future AI-based training features. Objectives Monitor and improve fencers’ performance through structured training sessions Provide local (gym-level) and global rankings Enable data-driven and AI-assisted training programs Support OTA firmware updates for ESP32 devices Deliver a reliable, professional-grade MVP suitable for commercial evolution Core Functional Areas (MVP) Real-time training feedback (hit / miss / reaction time) Session statistics and historical performance tracking Local and global rankings (cloud-synced) Device management and diagnostics Secure cloud communication and data storage Advanced AI logic, monetization, and premium content are planned for later phases. What I Am Looking For Strong experience with ESP32 (Feather, QT Py) Experience with Raspberry Pi GUI development (Linux-based) Wireless communication between embedded devices Cloud APIs and backend integration Ability to work with milestones and verifiable deliverables Project Status Hardware platform selected and validated Firmware logic partially implemented Seeking a professional partner to complete the MVP architecture and implementation Final Note This project focuses on long-term product quality and scalability, not on a quick prototype or a simple app.

Projekt-ID: 40099332