1. Advanced Search and Retrieval: AI in Contextual Search

AI is revolutionizing search by understanding what you really mean, not just what you type. This means faster searches with exactly what you need, even if you use different words or miss a key term.  Participants will create systems that understand the context and provide more meaningful search results.

Challenges:

• Build a search engine that uses AI to improve result relevance.
• Develop algorithms that can interpret and answer natural language queries with high precision.
• Integrate LLMs to provide context-aware search capabilities.

2. Intelligent Automation: Automated Decision-Making 

Explore the potential of intelligent automation by using AI to create automated decision-making systems. Participants will design and implement solutions that can make informed decisions in various domains, reducing the need for human intervention.

Challenges:

• Develop automation tools that use LLMs to analyze data and make decisions.
• Create systems for real-time decision-making in the Healthcare industry.
• Ensure the reliability and accuracy of automated decisions.

3. AI-Driven Data Analytics and Insights: Extracting Data Insights from Large Volumes of Information

Harness the power of AI to transform raw data into actionable insights. This category focuses on creating tools and platforms that can analyze large datasets and extract valuable information, aiding businesses and organizations in making data-driven decisions.

Challenges:

• Build AI models that can process and analyze large datasets efficiently.
• Develop visualization tools that present data insights in an understandable manner.
• Create predictive analytics models to forecast trends and outcomes.

4. Natural Language Processing (NLP): NLP Tools for Translating Complex Medical Information into Clear and Understandable Language

Bridge the gap between complex medical jargon and patient understanding. Participants will create NLP tools that translate intricate medical information into clear, accessible language, improving patient communication and healthcare outcomes.

Challenges:

• Develop NLP models that simplify medical terminology.
• Create tools for generating patient-friendly summaries of medical documents.
• Ensure the accuracy and reliability of the translated information.

5. Big Data Solutions: Efficient Big Data Processing and Querying at Terabyte Scale

Tackle the challenges of processing and querying massive datasets efficiently. Participants will design solutions that can handle data at terabyte scale, ensuring speed and accuracy in big data environments.

Challenges:

• Develop scalable architectures for big data processing.
• Create efficient querying systems for large datasets.
• Optimize data storage and retrieval methods.

Thinking Outside the Box

Did you come up with a clever and original solution to the problem?

Problem-Solving

Do you truly understand the challenge and have you tackled it effectively with your code? A winning solution shows you grasped the problem, used a well-organized approach, and considered unexpected situations.

Clear Communication

Can you explain your code’s ideas and features to both tech experts and regular people? Judges will evaluate how well you present your work using documentation, demos, and any visuals you included.

Making it Work in the Real World

Is your solution practical and can it be realistically used? Judges will consider if your code is adaptable to changes, can handle growth, and is user-friendly.

Code Clarity and Organization

Is your code easy to understand for others? Judges will assess the quality of your comments, explanations (like README files), and the overall structure of your code. They’ll check if you followed coding best practices and used proper formatting.

Growth Potential

Can this idea be easily scaled up, adapted, or even become a platform for other things?  The judges will consider how easy it is to grow this idea, if it can benefit from partnerships, and if it has the potential to become a bigger system.

Privacy Smart

How well does this idea handle user privacy?  The judges will look at how the idea gets its data, where it comes from, how it’s used, and how any results are stored.  Basically, they want to see if the idea prioritizes user privacy.

General Rules and Guidelines

1. This is an Individual/Team participation Hackathon, where each team can consist of 1 to 4 members. Note that changes to the team structure are discouraged once registered.
2. You can form a team with your friends or colleagues, or request to join other teams. The Hackathon features 5 themes, and your idea must align with one of these themes.
3. The deadline to enroll in the Hackathon with your ideas is June 14, 2024, by 11:59 PM NPT. The kickoff event will be held on June 15, 2024, and all participants must be physically present. During this event, each team will present a high-level overview of their solutions and may receive feedback from the judging panel.
4. Participants will then have 5 more days to complete their solutions, with final submissions due by June 14, 2024, at 11:59 PM NPT. Participants will be working virtually during this period. Detailed submission instructions will be provided during the kickoff event.
5. You are encouraged to develop new and innovative ideas. Any idea copied or borrowed from any source, including internet sources, may not be considered for the finale.
6. Once the Hackathon submission phase begins, you can submit your idea multiple times, with the last submission considered final within the stipulated window.
7. All team members must be physically present at the venue for the finale event. A maximum of 10 teams will be selected for the final presentation.
8. You may use open-source libraries and other freely available systems, services, and datasets.
9. Submitted code will become the intellectual property of Viveka Health and will be solely owned by them. All participants must sign an IP document during the kickoff event.

Submission Guidlines

All project submissions must include the following components:

1. GitHub Repository: Provide a link to your project’s code on GitHub, ensuring it includes a well-maintained README page.
2. Presentation: Submit a PowerPoint presentation of your project, limited to 12 slides, covering:
   • Problem statement
   • Solution summary
   • Detailed approach, including architecture diagrams or algorithm details
3. Demo Video: Create a demo video, no longer than 4 minutes, showcasing what you did, what’s next, and what you have learned.