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This section provides participants with recommended tools, documentation, and reference material to support project development throughout Nexora Hacks 2026. Competitors are encouraged to explore these resources and select those most relevant to their problem statement and technology stack.

General hackathon resources

  • Event homepage: Nexora Hacks 2026 Devpost portal

  • Official announcements and updates will be posted on the Devpost page discussion board

  • FAQ section covers common queries on submissions, tracks, and deadlines

Technical tools and platforms
Participants may use any modern technology stack of their choice. Common categories include:

  • Cloud platforms such as AWS, Google Cloud, Azure

  • AI and machine learning frameworks such as PyTorch and TensorFlow

  • Large Language Model APIs and GenAI tooling

  • Web and mobile app development frameworks

  • Data visualization and analytics tools

Where applicable, partners may provide free credits or trial access during the hackathon. Details will be shared on the announcements tab.

Datasets
Participants may:

  • Use publicly available datasets

  • Create their own datasets

  • Utilize provided benchmark datasets if released for specific tracks

Teams are responsible for ensuring that any dataset used complies with licensing and privacy policies.

Learning and skill-building
The following categories of material are recommended for preparation:

  • Tutorials on AI/ML model development and deployment

  • Introduction to cloud-native architecture and microservices

  • Guides on API integration and backend design

  • UI/UX design best practices

  • Pitching and presentation preparation resources

Support channels

  • Organizer Q&A via Devpost discussion board

  • Mentor support sessions where available

  • Pre-event webinars or orientation sessions when announced

Security and ethics guidance
Participants are encouraged to:

  • Follow responsible AI principles

  • Avoid harmful, biased, or unsafe applications

  • Ensure protection of user data and privacy regulations

Additional resources may be added as the event approaches, including tool credits, sample datasets, and recorded workshops.