Challenges

Urban Sound Classification

The urban sounds classification challenge focuses on classifying urban soundscapes. Participants will develop a model that categorizes audio samples into ten predefined urban environments.

Weight:18%

Pulmonary Nodule Detection

Pulmonary Nodule Detection involves developing a model for detecting lung nodules in chest X-ray images. Participants will train the model to identify and localize nodules, drawing bounding boxes around them with confidence scores.

Weight:18%

PTP1B Inhibition Classification

Develop a model to classify molecules as Active or Inactive in inhibiting PTP1B using SMILES representations, aiding drug discovery for diabetes, obesity, and cancer.

Weight:16%

DL-Based Permutation Flowshop Problem

Develop an innovative deep learning-based method to tackle the Permutation Flowshop Problem, a fundamental combinatorial optimization challenge! Combine DL models with heuristics to find efficient scheduling solutions.

Weight:18%

TinyPy Language Model

Build an autoregressive GPT-based model from scratch to trace TinyPy, a subset of Python! Your model must predict the execution state of code step by step. No pre-trained models, no external data—just pure innovation!

Weight:30%