About

This project is a lightweight mobile application developed using Sketchware that demonstrates the core principles of AI-assisted text processing. It covers three key modules:

1. Model Training — A simple embedded workflow that showcases how predefined data can be used to simulate training a model within the app’s logic, illustrating basic machine learning concepts.

2. Prompting and Response — Implements an input-output system where the user enters a prompt, the app processes it, and returns a contextually relevant response. This module demonstrates the fundamentals of prompt engineering and response generation using local logic & model.

3. Language Detection — Integrates a basic language recognition function that identifies the language of the input text using conditional checks and simple keyword matching. This helps users understand how language detection works at an elementary level.

This project is designed as an educational prototype.

▶️ YouTube: https://youtube.com/@qgrapx2.0 💬 Telegram: https://t.me/qgrapx

License: This source code is 100% free to use, edit, and share for any purpose.
Attribution is required — please always credit the original creator.

© Hasibur Rahaman, Android Software Developer & Technology Enthusiast.