About the challenge

Develop a software solution centered on Gen AI and Automation. The problem statement is broad, giving teams freedom to innovate. Beyond building, you must demonstrate market viability through research and a compelling pitch.

 

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Generative AI is reshaping how software enhances workflows, boosts productivity, and automates real-world tasks. Modern AI-powered solutions can be built using a wide range of tools, models, and automation techniques that enable intelligent reasoning, smart content generation, and streamlined digital operations.

Requirements

What to Build

 

Section 1 Technical Development Statement

Participants must build a working software solution that combines Generative AI with Automation to improve a real-world workflow or process. The solution should clearly define the task being improved, show how Generative AI provides intelligent output such as content, recommendations, summaries, plans, or decisions, and demonstrate how automation executes actions such as triggering workflows, processing data, integrating systems, or handling repetitive steps.

The final prototype must present a functional prototype where AI-generated intelligence and automated operations work together in a seamless, end-to-end manner. Any domain is allowed—productivity, cybersecurity, cloud operations, business tools, education, creative systems, and more—as long as the system showcases AI-driven insight paired with automated execution, supported by reliable, scalable, and responsible design principles.

 

Section 2 Market Analysis Statement

Participants must demonstrate a clear understanding of the market environment surrounding their product. This includes identifying where the solution fits, who will use it, and why it holds value in the real world.

Industry & Market Context
Identify the industry your product serves, the scale of that market, and any major trends—such as AI adoption, automation growth, or digital transformation—that make your solution relevant and timely.

Target Users & Market Reach
Define the group of users or organizations that would benefit most from your product. Provide a simplified understanding of your market opportunity, including who your ideal customer is and which specific needs or pain points your solution addresses.

Competition & Differentiation
Briefly outline existing tools or methods customers use today and highlight the gaps they fail to solve. Identify your main competitors and clearly explain what makes your product stand out—its unique value or advantage.

Pricing & Adoption Strategy
Present a straightforward monetization approach (such as subscription, usage-based, or tiered pricing) and explain why it fits your target users. Describe simple channels or methods you would use to reach and acquire customers.

Opportunities, Challenges & Risks
Summarize the strengths and opportunities your product has in the market, along with potential challenges such as competition, adoption barriers, or compliance considerations related to AI technology.

Projected Impact & Roadmap
Explain the measurable benefits your solution could deliver—faster workflows, reduced costs, improved accuracy, or stronger user experience.

 

What to Submit

Each team must submit the following:

  • A fully functional prototype demonstration
  • Slide deck containing comprehensive market analysis
  • Live pitch presentation to the judges
  • GitHub repository link with your complete codebase

All components are mandatory. Your submission will be evaluated holistically, so ensure consistency and quality across every element.

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Prizes

0 in cash
Cash Prize
0 in cash
1 winner

Devpost Achievements

Submitting to this hackathon could earn you:

Judges

Raja Ata Ul Karim

Raja Ata Ul Karim
Logrithm

Judging Criteria

  • User Experience / User Interface
    Assessing the ease of use and aesthetics of your project. Does it effectively accomplish its intended purpose in a user-friendly and approachable manner?
  • Originality / Uniqueness
    Determining whether your project is a novel idea or if similar ones have been executed before.
  • Technicality
    Evaluating the complexity of the problem you are solving, including the number of components involved. Did you develop it in an efficient manner, or did you add too many unnecessary components? Is your code well-structured and clean?
  • Practicality
    Assessing the practicality and potential appeal of your project to its intended audience. Does it have business value and potential for growth and mass adoption?
  • Moonshot Potential
    Beyond practical considerations, we also welcome radical and visionary projects that have the potential to revolutionize industries or create entirely new ones. We encourage you to think big and propose bold, daring solutions.

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