Decode AI: Build the Most Creative AI-Powered App in 2 Hours

Summary: The event encourages students to build simple mobile, web, or desktop applications that use AI to address societal challenges. Using APIs of existing LLMs, participants will build applications with real-world impact using any programming language. The hackathon includes workshops, and pitch presentations. The focus is on developing innovative AI solutions that can evolve into production-ready apps, tackling issues like healthcare, education, sustainability, and social equity.

Event Breakdown

Focus: Leverage a variety of AI APIs (e.g., voice, chat, image, vision, video) to develop an innovative and user-friendly application. 

Basic Deliverable: A functional mobile, web or desktop application (or a simple prototype) demonstrating creative use of at least one AI API that solves a problem. Popular API links will be provided for participants to use, but they are free to choose any API of their preference even if not provided.

Technical Guidelines:

  • Frontend: Utilize any programming language or framework of choice; examples include: HTML, CSS, JavaScript, Python, Java, Flutter, React native, Ionic, React, Vue, Angular etc.
  • No backend servers or databases required. Focus on frontend logic and API interactions. Use in-memory data storage (variables) or simple caching mechanisms to handle data storage where necessary.
  • No code solutions allowed

Submission Requirements:

  • Code Submission: Submit the complete source code of your project (including any relevant files).
  • Screen Recording: Submit the Zoom screen recording of your entire screen during the coding process throughout the 2-hour hackathon. Please keep your microphone unmuted during the entire coding session.
  • Short Demo/Presentation: Prepare a short presentation or demo (maximum 5 minutes) showcasing your application, its key features, and how it addresses a specific problem. This time is included within the 2-hour hackathon time limit.

Judging Criteria (Rubric):

A. Functionality (40%):

  • Does the application effectively utilize the chosen AI API(s)?
  • Does it fulfill a specific user need or solve a creative problem?
  • Is the core functionality of the application working as intended?

B. Code Structure (25%):

  • Is the code well-organized, readable, and maintainable?
  • Are appropriate coding practices followed (e.g., clear variable names, comments, modularity)?
  • Is the code efficient and free of major bugs?

C. UI/UX (20%):

  • Is the user interface intuitive, visually appealing, and easy to navigate?
  • Does the application provide a valuable user experience?

D. Demo & Explanation (15%):

  • Short Demo: A brief (max 5 minutes) live demonstration of the application showcasing its key features.
  • Problem Solving: A concise explanation of the problem the application addresses and how it utilizes AI to provide a unique solution.

Zoom Link to Register: Decode AI: Build the Most Creative AI-Powered App in 2 Hours

Online
Time 12:00 pm ET
Duration 3 hours 0 minutes
Event Leader Chibuikem Obikwelu (Francis)
Theme Spotlight on the Engineering Student Challenge