AutoniMake is a code-free AI robotics platform that allows users to train computer vision models and instantly connect those models to real-world hardware actions.

Instead of writing complex machine learning pipelines, users can capture examples, train a model, and control hardware devices in minutes.

Our goal is to make building autonomous robotics systems as accessible as building a website.

• Code-Free AI Training
  Train computer vision models directly from a camera feed without writing machine learning code.

• Real-Time AI Inference
  Camera input is processed using a CNN classifier to recognize gestures or objects.

• Hardware Integration
  AI predictions are converted into commands that control real-world devices.

• Modular Architecture
  A Raspberry Pi hub communicates with ESP32 peripherals like displays, motors, or sensors.

• Rapid Prototyping
  Build and test autonomous behaviors in minutes rather than days.

Camera Input
      │
      ▼
OpenCV Processing
      │
      ▼
CNN Classification (PyTorch)
      │
      ▼
Command Mapping
      │
      ▼
Raspberry Pi Hub
      │
      ▼
ESP32 Peripheral Devices

Example command flow:

Gesture Detected → "thumbs_up"
        ↓
Command Generated → "ROBOT:F"
        ↓
ESP32 Executes → Robot Moves Forward

• Python
• C++ (Arduino)
• JavaScript
• HTML / CSS

• OpenCV
• PyTorch
• FastAPI
• U8g2

• Raspberry Pi
• ESP32
• SH1106 OLED Display
• Camera Module

• Serial (UART)
• Custom command protocol

Users capture images directly from a camera feed using the web interface.

The platform trains a convolutional neural network (CNN) to recognize patterns in the captured images.

The CNN learns hierarchical visual features:

Image → Feature Extraction → Pattern Recognition → Classification

Incoming camera frames are processed and classified in real time.

Example output:

Prediction: thumbs_up
Confidence: 94%

Predictions are mapped to commands sent to ESP32 modules.

Example:

thumbs_up → ROBOT:F
stop → ROBOT:S

• Gesture-controlled robots
• Object-following autonomous vehicles
• Smart accessibility tools
• AI-driven hardware interfaces
• Robotics education

git clone https://github.com/yourusername/autonimake.git
cd autonimake

pip install -r requirements.txt

uvicorn server:app --host 0.0.0.0 --port 8000

1. Connect the ESP32 to the Raspberry Pi via USB
2. Upload the ESP32 firmware using the Arduino IDE
3. Start sending commands from the hub

Example command:

DISPLAY:Hello World
ROBOT:F