Talon AI

Inspiration

I was motivated to create Talon AI to help job seekers prepare more effectively for interviews. The traditional methods often lack personalization, and I wanted to fill that gap.

What it does

Talon AI generates tailored interview questions based on the user’s job title, years of experience, and job description. It also allows users to record their answers and receive personalized feedback.

How we built it

The frontend is developed using Next.js, while the backend is built with Node.js and PostgreSQL. I utilized the Gemini API for generating relevant interview questions.

Challenges we ran into

One major challenge was ensuring that the AI generated relevant and high-quality questions. Additionally, integrating the recording and feedback system required extensive testing to ensure accuracy.

Accomplishments that we're proud of

I’m proud of creating an intuitive user interface and successfully implementing an AI-driven feedback mechanism that truly enhances the interview preparation experience.

What we learned

I learned about integrating AI with web technologies and gained insights into user experience design and data management.

What's next for Talon AI

In the future, I plan to enhance the feedback system, expand the question database, and introduce features like live practice interviews to make the app even more comprehensive.

Built With

• google-gemini-api
• javascript
• natural-language-processing
• next.js
• node.js
• postgresql
• vercel