hdparmar / esp32-adu

ESP32 Adventure; some with TensorFlow Lite

esp32-adu

ESP32 Adventure; some with TensorFlow Lite

The "adu" in the repository name is a reference to the albumn "A Deeper Understanding" by The War On Drugs bandl; taking the inspiration from this albumn to create something lasting and hopefully it inspires someone. Projects will be based on ESP32 and will be developed around it, featuring vast ideas and all the concepts behind those ideas.

I will also include everything I went through to develop the project so that anyone can learn from it.

Overview

This project aims to develop a portable, standalone music education tool based on the ESP32-Korvo-V2 or ESP32 Dev Board. The device will serve as an interactive synthesizer and drum machine, providing a hands-on learning experience for synthesis, and audio engineering.

Features

• Basic Synthesizer: Waveform generation (sine, square, triangle, sawtooth), ADSR envelope controls, and filters.
• Drum Machine: Simple step sequencer with preloaded drum samples.
• Web Interface: Real-time control via a web app hosted on the ESP32.
• Educational Content: Interactive lessons on music theory and synthesis.

esp32-adu's Issues

Set up the project basics

Set up ESP32 and peripherals required.

• If necessary set it up as a web server too

Development Phase 2

Idea:

• Bring back Caustic app on embedded board
• Gamify it
• Make it minimalistic first

Gamifying it:

• Step to step learning to user
• Automatic tutorials
• A main home page?
• Rewards? Practices?

Development phase 01

Should the idea of bringing Caustic to life be

• Through gamification
• Or a menu based approach
• Or a textbook style approach
• Or just all functionality in one with a user manual?

Initial Idea development

About:

• Come up with a creative idea for development on ESP32

Tasks:

• Idea should be an interaction of ESP32 and development around it; it can be any creative idea.
• Should be good enough for "Experiments with Google" submission

Requirement:

• Must use ESP32 and TensorFlow Lite
• Can use multiple peripherals
• Can use Web App or completely on-board
• The choice of using FreeRTOS or going bare-metal should not be considered now; initial is going full bare-metal