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AI & Machine Learning Track

Harness the power of artificial intelligence and machine learning to solve complex problems and create innovative applications. This track challenges you to push the boundaries of AI technology to address real-world challenges across healthcare, education, sustainability, and more.

AI & Machine Learning Track Overview

The AI & Machine Learning track challenges participants to develop innovative solutions that leverage AI, ML, and data science to solve real-world problems. From healthcare diagnostics to sustainable agriculture, this track offers a wide range of problem statements to tackle.

What We're Looking For

  • Innovative applications of AI/ML techniques
  • Solutions addressing real-world challenges
  • Ethical considerations & bias mitigation
  • User-friendly & scalable implementations

Technologies

TensorFlow & PyTorch
Hugging Face Transformers
OpenCV for Computer Vision
Scikit-learn & Keras
Cloud AI Services
Matplotlib & D3.js

Submission Requirements

  • A working prototype/demo
  • Source code repository with documentation
  • A presentation outlining your approach & results
  • Clear problem statement & its significance
  • Description of AI/ML techniques used

Ready to Get Started?

Browse the problem statements, gather your team, and start building your AI solution!