Earn ₹ 3000

Problem Description:

Build a machine learning model that can classify and recognize objects and scenes in images with high accuracy.

Acceptance Criteria:

• Train the model on a large dataset with labeled images.
• Achieve a specified accuracy threshold on a validation set.
• Provide documentation and instructions for model deployment and usage.

Timelines / Milestones:

• Data preprocessing and model training: 4 weeks
• Model evaluation and fine-tuning: 2 weeks
• Documentation and deployment: 2 weeks