Introduction

Welcome to the official Resource Hub for NeuroLogic ’26!

In this 12-hour sprint, time is your most valuable resource. To help you focus on building impactful NLP solutions, we’ve curated essential tools, platforms, and guidance so you can skip setup and jump straight into model development.

Tools and Technologies

To ensure all participants have access to sufficient compute power for NLP tasks, we strongly recommend the following free-tier tools:

  • Google Colab / Kaggle Notebooks
    The fastest way to access free GPUs (such as T4) without local setup.
  • Hugging Face (Transformers Library)
    A powerful ecosystem for pre-trained NLP models, tokenizers, and pipelines.
  • Oracle Cloud Free Tier
    Useful for deploying or testing your trained models.
  • GitHub
    Required for submitting your code and maintaining version control.

Inspiration

If this is your first datathon—don’t worry. You don’t need to build everything from scratch.

  • Use Transfer Learning
    Fine-tune models like BERT, RoBERTa, or DistilBERT on the provided datasets.
  • Build a Baseline First
    Start simple, then optimize.
  • Focus on Documentation
    Judges will evaluate:
    • Model performance (F1 / Accuracy / ROC-AUC)
    • Clarity of your README

A clean, working solution with good documentation will outperform a complex but incomplete model.

Contact Us & Support Channels

Have questions regarding datasets, rules, or evaluation?

  • Use the Devpost Discussion Board (available on the hackathon page)

Organizers from the Department of AIML, GGITS will actively monitor and respond throughout the 12-hour hacking window.

All datasets will be released at the start of the hackathon (10:00 AM IST, April 25, 2026).
This ensures a fair and synchronized start for all participants.