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Welcome to Grupo de Anda

This repository contains open-source educational projects from Grupo de Anda, designed to serve as a learning resource for the developer community. The projects span software development (primarily Python) and hardware prototyping (Arduino, ESP32, and other microcontrollers).
This code is shared for educational purposes and transparency. It contains no user data and is designed to demonstrate secure coding practices and project implementations.

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What you’ll find here

The repository is organized into two main sections:

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1. Software projects

Python-based applications and scripts covering:
  • AI/ML Projects: Custom machine learning models, voice assistants, and AI training frameworks
  • Desktop Applications: GUI applications built with CustomTkinter
  • Web Applications: HTML/CSS interfaces and web integrations
  • Automation Scripts: Task automation and utility programs
# From proyectos/ai creator/asistantkamutini.py
import requests
from gtts import gTTS
import pygame

# Google Gemini API integration
API_KEY_GEMINI = ""
GEMINI_MODEL = "gemini-1.5-flash"

# Generation parameters
TEMP = 0.6
TOP_K = 40
TOP_P = 0.9
MAX_TOKENS = 250

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2. Hardware projects

Arduino and microcontroller-based prototypes including:
  • Arduino Nano Projects: Solar lamp controllers, automated systems
  • Circuit Examples: Electronic circuit guides and schematics
  • Integrated Projects: Hardware-software integration examples
// From proyectos hadwere/arduino nano/lampara_solar/v2/codigo.ino
const int pinMOTOR = 10;
const int pinINDICADOR = 13;

// Timer configuration (11 hours ON, 24 hours OFF)
const unsigned long ON_TIME = 11UL * 60UL * 60UL * 1000UL;
const unsigned long OFF_TIME = 24UL * 60UL * 60UL * 1000UL;
const unsigned long AVISO = 1UL * 60UL * 1000UL;

void setup() {
  pinMode(pinMOTOR, OUTPUT);
  pinMode(pinINDICADOR, OUTPUT);
  
  digitalWrite(pinMOTOR, HIGH);
  motorEncendido = true;
  tiempoReferencia = millis();
}

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Technologies used

The repository leverages several programming languages and frameworks:

Python

Primary language for AI/ML projects, desktop apps, and automation scripts

C++

Used for Arduino and microcontroller programming

HTML/CSS

Web interfaces and front-end development

PyTorch

Deep learning framework for custom AI model training

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Key Python libraries

Projects in this repository commonly use:
  • AI/ML: torch, transformers, datasets, peft, accelerate, gpt4all, llama-cpp-python
  • Audio Processing: gTTS, pygame, librosa, sounddevice, pydub
  • GUI Development: customtkinter, tkinter
  • Utilities: requests, numpy, pandas

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AI Creator (Kamutini)

A custom AI training framework located in proyectos/ai creator/ that includes:
  • Custom transformer-based model architecture
  • Training datasets and data normalization tools
  • Intent detection model for conversational AI
  • Support for CPU, CUDA, and MPS (Apple Silicon) acceleration

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miPOS - Point of Sale System

A desktop POS application (proyectos/mipunto -/) with:
  • Inventory management
  • Sales tracking
  • AI-powered reporting
  • CustomTkinter GUI interface

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Voice Assistant

An AI voice assistant (proyectos/ai creator/asistantkamutini.py) featuring:
  • Google Gemini API integration
  • Text-to-speech with gTTS
  • Web search capabilities
  • Intent detection and command parsing

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Important notices

This repository is designed for Ubuntu and tested with Python 3.11 and 3.13. Windows and macOS users may need to adjust configurations.
All code is shared with the intention of demonstrating secure data handling practices and avoiding associations with malicious software. The community is invited to review, modify, and report errors.

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Community participation

You’re encouraged to:
  • Review the code and identify potential improvements
  • Test projects and report bugs
  • Learn from the implementations
  • Contribute fixes and enhancements
To contribute:
  1. Download the repository as a ZIP file
  2. Identify files with errors or areas for improvement
  3. Make and verify your changes
  4. Send your modifications to: [email protected]
This contribution method helps maintain organization and ensures all suggestions are properly reviewed.

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Project creator

These projects are created and maintained by Daniel Tecnologi. Website: https://oficialdanieltec.netlify.app/
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