AI Interview Mastery Trainer

An interactive training tool designed to help users master essential skills for AI Engineer interviews.

Key Features

• Coding Practice: Algorithm and data structure challenges with hints, solutions, and complexity analysis
• Theory Questions: Multiple-choice questions on AI/ML fundamentals with detailed explanations
• Algorithm Design: Design algorithms for real-world AI scenarios with guided approaches
• Study Guides: Comprehensive learning materials for each topic with practical interview strategies
• Progress Tracking: Dashboard to monitor your performance and identify areas for improvement
• Personalized Recommendations: Get tailored study suggestions based on your performance

Recent Updates

• Added comprehensive study guides for all question types
• Implemented pre-question checklists to guide preparation
• Enhanced study progress tracker with visual indicators
• Improved navigation between study materials and practice questions

Getting Started

1. Clone this repository: git clone https://github.com/CodeQueenie/AI_Interview_Mastery_Trainer.git cd AI_Interview_Mastery_Trainer

2. Install dependencies: pip install -r requirements.txt

3. Run the application: streamlit run src/app.py

Project Structure

AI_Interview_Mastery_Trainer/ ├── data/ │ ├── coding_questions.py # Coding problems with solutions │ ├── theory_questions.py # AI/ML theoretical questions │ ├── algorithm_design_questions.py # Algorithm design problems │ └── study_guides.py # Study materials for all topics ├── src/ │ ├── app.py # Main Streamlit application │ ├── dashboard.py # Progress tracking dashboard │ ├── utils.py # Utility functions │ └── visualizations.py # Data visualization utilities ├── images/ # Screenshots and visual assets ├── logs/ # Application logs ├── session_data/ # User session storage ├── run.py # Application launcher └── requirements.txt # Project dependencies

License

This project is licensed under the MIT License with attribution requirements.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.