Example code for using ESP32 Development Boards with various electronic and mechanical components.

SmartRadio is a voice-controlled radio and AI assistant demo for the ESP32-C6 Touch LCD platform

Demo of adding some AI to a project via an ESP32-cam module sending images off to gemini flash 8B for classification.

The project is providing authorization to the system by using the AI HLK-TX510 KIT demo board in conjuncion with ESP32-C3 super mini.

一个基于esp32的全部基于本地简易的AI聊天玩具，包含服务端的demo

ESP32-CAM (AI Thinker) camera with demo project (with tensorflow)

Real-time object detection of microcontrollers and sensors (ESP32, Arduino, DS18B20, etc.) using ESP32-CAM and Edge Impulse. Ideal for smart inventory, embedded demos, and edge AI applications.

esp32-ai-local和一些验证代码

An ESP32-based demo of edge AI using TensorFlow Lite for gesture recognition.

ESP32-style edge AI anomaly detector with a live web demo, Isolation Forest inference, HAL abstraction, and MQTT fallback logging.

ESP32 embedded demo integrating an SSD1306 OLED display with Google Gemini AI, featuring Wi-Fi connectivity, I2C diagnostics and a clean modular architecture.

Personal portfolio website built with HTML, CSS, and JavaScript to showcase projects and skills. Highlights include Pac-Man AI (C++/SFML/DSA) and LiverSense (IoT + ML with ESP32 & sensors). Features clean responsive design, project demos, and a professional profile.

Research framework proving software optimization beats raw GPU specs. Free Colab T4 + OptiGPU outperforms RTX 5090 on AI inference. Covers INT4 quantization, kernel fusion, torch.compile, and ESP32-S3 edge demo.

This project implements a touc free lab interface using embedded ML. An ESP32-S3 AI Camera runs a TinyML model locally, sending gestures via ESP-NOW to an ESP32 WROOM-32 to control a function generator and rotary knob as demo instrument. It avoids heavy computer setups, enabling compact, standalone gesture control with audio-visual feedback

This repository provides code from Chapter 1: Evolution of IoT. Projects include a Smart Room Monitor, an ESP32-CAM face detection demo, a Q-Learning rover, and a Raspberry Pi personal assistant. Perfect for students exploring AI-powered IoT solutions!