HireLight

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  HireLight screenshot

Inspiration

We began our brainstorming by discussing the pain points we encounter as job seekers. The most frustrating issues were the lengthy hiring process and the lack of constructive feedback from interviews. This inspired us to develop a solution that could provide meaningful feedback to candidates. We also aimed to create a strategy for bringing this solution to market—offering a product that would simplify the hiring process for managers as well.

What It Does

Our project takes the form of an AI agent that delivers feedback based on a job interview transcript. The feedback is personalized, allowing users to focus on specific categories they want to improve.

How We Built It

We built the application using Streamlit to quickly prototype and deploy the app in Python. We integrated ElevenLabs Speech-to-Text technology to convert audio recordings into transcripts and used LLM 4o-mini to generate insightful feedback from the text.

Challenges We Ran Into

We faced several challenges along the way, including typical DevOps issues when setting up the development environment. Additionally, we had to creatively hack our app to run a functional demo without a fully developed backend database. Parsing audio accurately was also a technical hurdle that required extra attention.

Accomplishments We're Proud Of

We’re proud of developing a complete business concept and successfully submitting our project. Crafting both the technical solution and a market-ready strategy was a significant achievement for our team.

What We Learned

Throughout this project, we gained valuable insights into building AI-powered feedback systems, integrating third-party APIs, and overcoming technical challenges under time pressure. We also deepened our understanding of product-market fit and how to align technical solutions with real user needs.

What's Next for HireLight

Our next steps focus on refining the user interface and scaffolding the entire application to ensure seamless integration of all components—this includes adding a robust database. We aim to develop a fully operational backend to support larger-scale testing and build a solid proof of concept (POC). This will help us validate the product with hiring managers and job seekers, ensuring it effectively meets user needs.

Built With

• elevenlab
• python
• streamlit
• wordware