📌 AprendemosAI – QA Testing Documentation 📖 Repository Overview

This repository contains manual QA testing documentation and test artifacts for AprendemosAI, an AI-powered learning platform inspired by YouLearn.com. The focus of this repository is to ensure high quality, usability, reliability, and correctness of features through structured manual testing.

The testing scope covers:

• User authentication

• AI-driven content extraction

• Resource management

• Project creation

• AI feature validation (Chat, Infographics, Explanation, Glossaries, Chapters)

• Security and usability checks

🧪 Role & Responsibility

Role: Manual QA Tester Responsibility:

• Analyze requirements and features

• Design test cases based on functional and non-functional requirements

• Execute test cases manually

• Identify, document, and report defects

• Validate AI feature responses against uploaded sources

🧩 Application Modules Covered 🔐 Authentication Module

• User registration
• User login
• Password validation
• Session handling
• Logout functionality

🏠 Dashboard Modules

After login, the following modules are available:

• Submit PDF

• Submit One or Multiple Images

• Paste Text

• Upload YouTube Link (Transcript Extraction)

• Website Link Content Extraction

📂 Source Management

• Uploaded resources appear in the Source Section

• Supported source types:

• PDF

• Images

• Text

• YouTube Transcript

• Website Content

📁 Project Management

Create new projects

Assign one or multiple sources

Project name validation

Edit / delete project

Access control per user

🤖 AI Project Features (Sub-Modules)

Each project has the following AI-powered features:

Chat AI answers questions strictly based on uploaded source content.

Infographics Automatically generated visual summaries from project sources.

Explanation (≤1000 words) Context-aware topic explanations.

Glossaries Extracted terminology and definitions from sources.

Chapters Logical segmentation of long documents into chapters.

🏁 Conclusion

This QA documentation ensures:

• Stable user experience
• Accurate AI-driven results
• Secure access control
• Scalable testing approach for future features
• The repository demonstrates real-world manual QA skills, suitable for:
• Job applications
• QA portfolios
• Client handover documentation
• Interview discussions

👨‍💻 Author: Jobayer Hossain Manual QA Tester Project: AprendemosAI