HackStack

Project Info

Athena

Devpost

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Inspiration

The inspiration for our project, Athena, comes from our experience as students with busy lives. Often, it isn't easy to keep track of the vast amounts of media we encounter (Lectures, webinars, TedTalks, etc). With Athena, people can have one AI-powered store for all their content, allowing them to save time slogging through hours of material in search of information. Our aim is to enhance productivity and empower our users to explore, engage, and learn in a way that truly values their time. What it Does In Athena, we empower our users to manage and query all forms of content. You have the flexibility to choose how you organize and interact with your material. Whether you prefer grouping content by course and using focused queries or rewatching lectures with a custom-trained chatbot at your fingertips, our application Athena has got you covered. We allow users to either perform multimodal vectorized searches across all their documents, enhancing information accessibility, or explore a single document with more depth and nuance using a custom-trained LLm model. With Athena, the power of information is in your hands, and the choice is yours to make.

How we built it

We built our application using a multitude of services/frameworks/tools: React.js for the core client frontend TypeScript for robust typing and abstraction support Tailwind for a utility-first CSS framework ShadCN for animations and UI components Clerk for a seamless and drop-in OAuth provider React-icons for drop-in pixel-perfect icons NextJS for server-side rendering and enhanced SEO Convex for vector search over our database App-router for client-side navigation Convex for real-time server and end-to-end type safety Challenges We Ran Into Navigating new services and needing to read a lot of documentation -- since this was the first time any of us had used vector search with Convex, it took a lot of research and heads-down coding to get Athena working. Being awake to work as a team -- since this hackathon is both in-person and through the weekend, we had many sleepless nights to ensure we can successfully produce Athena.

Accomplishments we're proud of

Finishing our project and getting it working! We were honestly surprised at our progress this weekend and are super proud of our end product Athena. Learning a ton of new technologies we would have never come across without Tree Hacks. Being able to code for at times 12-16 hours straight and still be having fun!

What we learned

Tools are tools for a reason! Embrace them, learn from them, and utilize them to make your applications better. Sometimes, more sleep is better -- as humans, sleep can sometimes be the basis for our mental ability! How to work together on a team project with many commits and iterate fast on our moving parts.

What's next

Create more options for users to group their content in different ways. Establish the ability for users to share content with others, increasing knowledge bases. Allow for more types of content upload apart from Videos and PDFs

Analysis

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Metric

Figures cover GitHub contributors during the hackathon window. A co-authored commit counts in full for each author, so per-member totals add up to more than the whole-team figures.

Technology

Found in codeClaimed only
  • CSSIn code
  • FastAPIIn code
  • JavaScriptIn code
  • LangChainIn code
  • Next.jsIn code
  • OpenAIIn code
  • PythonIn code
  • ReactIn code
  • Tailwind CSSIn code
  • TypeScriptIn code

10 of 10 appear in the indexed code.

AI coding agents

No AI coding agent signals were found in this repository.

Detected from committed agent config files and commit authorship. Absence of a signal is not proof an agent was unused.

Codebase size

Source size

133 KB

Source files

59

Counts recognized source files only; vendored directories, binaries and lockfiles are excluded, so this is smaller than the repository on disk.

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