Objective: Assess AI engineering skills by:

1. Organizing and planning code effectively
2. Demonstrating problem-solving for unseen challenges
3. Applying fundamental ML concepts
4. Implementing and optimizing a CNN

Task Details

Develop a CNN to convert 256x256 black-and-white images to color using tools like Google Colab.

Key Considerations

1. Problem Approach
   • Explain your thought process and any research or existing solutions you considered.
2. Architecture Choice
   • Justify your CNN architecture selection and how it addresses the task.
3. Training Data
   • Describe dataset selection, preprocessing, and augmentation techniques.
4. Code Organization
   • Ensure clear, well-structured, and commented code with a modular design.
5. Experiment Design and Validation
   • Outline your setup, validation strategy, and metrics.
6. Model Optimization
   • Focus on creating an efficient model with fewer parameters while maintaining accuracy.

Submission Requirements

1. Source code (well-documented and organized)
2. Detailed report (max 5 pages) covering:
   • Problem approach
   • Architecture choice
   • Dataset selection and preprocessing
   • Experiment design and results
   • Model optimization techniques