MitqLab: A Single-File Browser-Based Data Science Education Platform

MitqLab is an Armenian-language data science learning platform that runs entirely in the browser. No installation or server is needed— a single HTML file delivers a complete learning experience, including interactive courses, real-time code labs, an AI tutor, and a certification system. The project aims to break language barriers, promote educational equity, and enable Armenian children to learn world-class data science, Python programming, and machine learning knowledge in their native language.

In today's era of widespread digital education, language barriers remain a major obstacle for children in many regions to access cutting-edge technical knowledge. MitqLab stems from the belief that every Armenian child should be able to learn data science in their native language, and it is a social practice for educational equity. Developer Hripsime built this free interactive platform in 2026, specifically designed for Armenian speakers. The single HTML file design greatly lowers technical barriers, allowing any device with basic internet access to become a learning terminal.

MitqLab adopts an architecture that balances minimalism and functional completeness— a single index.html file contains course content, an interactive code environment, an AI tutoring system, and certification mechanisms. The Python runtime environment is loaded in the browser via Pyodide (v0.26.4), supporting real Python 3 code execution with pre-installed core libraries like NumPy, Matplotlib, and Pandas. The AI tutor offers two modes: local Ollama models (supporting the Gemma 4 series) and cloud-based Google AI Studio, balancing privacy and convenience.

MitqLab's courses are divided into five progressive modules:

1. Basic Mathematics and Statistics: Covers mean, median, mode, outlier detection, and correlation analysis;
2. Pandas Data Processing: Teaches DataFrame operations, data filtering, cleaning, and missing value handling;
3. Introduction to Machine Learning: Explains linear regression, decision trees, K-nearest neighbors algorithm, with visual demonstrations and code examples;
4. Data Visualization: Uses Matplotlib to draw line charts, bar charts, etc., emphasizing design principles;
5. Domain Application Cases: Shows real-world applications in fields like healthcare, finance, engineering, and sports.

MitqLab offers a diverse learning experience: split-screen design (left code editor + right AI chat window), syntax highlighting, inline chart display; the AI tutor supports context-aware help with quick actions like "explain" and "hint", and allows uploading screenshots for questions. The built-in AI-driven learning path generator creates personalized plans based on the user's learning topics, level, goals, time schedule, and special needs (e.g., dyslexia), and supports export to CSV or PNG.

MitqLab has a complete certification mechanism: after completing all modules, users can take a 15-question multiple-choice final exam with an 80% (12 or more correct answers) passing threshold; each question has instant feedback and explanations. After passing the exam, the system generates a personalized graduation certificate (customizable with the user's name), showing the score and percentage, and supports downloading as a PNG. This mechanism enhances learning motivation and completion rates.

MitqLab is written purely in HTML/CSS/JS without build steps or package managers, making the code readable and maintainable; it uses fonts like Playfair Display from Google Fonts to ensure Armenian language display and code readability. The project is open source— educators can fork it for localization or adjust content; the single-file architecture facilitates distribution and deployment, which has reference value for educational popularization in resource-limited areas.

MitqLab combines technical capabilities with social mission, proving that a single developer and an HTML file can create an educational tool with far-reaching impact. Its design philosophy of lowering barriers, respecting diversity, and emphasizing practice provides experience for the edtech field. For Armenian speakers, it is a zero-cost learning entry point; for practitioners, it demonstrates implementation solutions like browser-based Python and AI-assisted learning. The ultimate value of technological innovation lies in serving people and empowering them.