Project Title: AI-Driven Website Testing Agent

Summary:

The AI-Driven Website Testing Agent is a software tool that uses artificial intelligence to automatically test websites for functionality, usability, performance, and bugs. Unlike traditional test scripts, this agent learns and adapts to changes in the website's structure, intelligently identifying issues such as broken links, layout problems, slow loading times, and JavaScript errors.

This project aims to reduce the time and manual effort required in website testing while increasing accuracy and coverage, especially in dynamic or frequently updated sites.

Key Objectives:

Automate UI and functional testing of websites

Use AI to detect anomalies and unexpected behavior

Improve efficiency and reliability of web application deployment

Core Components:

Web Crawler/Tester: Navigates the site like a user

AI Engine: Uses machine learning to predict normal vs. abnormal behavior

Report Generator: Summarizes bugs and test results

Dashboard Interface: For viewing reports and controlling test runs

Technologies Used:

Python with Selenium or Playwright for web automation

Machine learning (scikit-learn, TensorFlow) for pattern recognition

Flask/Django for backend

React or HTML/CSS/JavaScript for dashboard UI

Optional: Computer vision (OpenCV) for visual layout testing

Features:

Automated end-to-end test execution

Visual UI regression testing

Performance and load analysis

Bug report generation with screenshots

Applications:

Web development teams

CI/CD pipelines

QA automation tools