Tune.AI

Provide find-tuned resume and tailored cover letter for job applications in just 3 steps.

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Inspiration

As the job market becomes more competitive and fiercer than ever, everyone experiences significant hardship when trying to find a job. The situation is not getting any better soon as layoffs occur more frequently and more people begin looking for jobs. On average, a single application yields an 8.3% chance of landing a job interview, and is even more difficult to secure an offer. As such, Tune.AI aims to reduce the hassle of job search and matches you with the most suitable job!

What it does

Tune.AI allows users to automatically tailor their resumes according to each specific job posting and also provide cover letters that match with everything on the users' resumes, the company the user is applying to, and the specific job posting's requirement.

Tune.AI aims to help users increase their chance of landing interviews with fewer applications and in much less time, with higher accuracy of landing a job that matches their existing skillsets.

How we built it

Our Platform is comprised of:

  • A resume parser we buildtfrom scratch
  • A Recommendation system to help rank current job postings according to the user's resume
  • An algorithm to help select the most relevant experiences/skills/projects to the job posting that the user wants to apply to
  • AIs that generate tuned resumes and tailored cover letters

Challenges we ran into

  • Our project consists of a lot of components and we experienced significant hardships when trying to integrate everything.
  • Steep learning curve for different third party applications that we were trying to integrate
  • Working together in sync and ensuring that we meet our project timeline

Accomplishments that we're proud of

  • Being able to incorporate the latest technologies (LLM, database, etc) into our platform
  • Creating our resume parser that successfully parsed multiple different resumes of different variations
  • Matching and connecting people with suitable companies

What we learned

  • How to collaborate on different components concurrently and connecting them
  • How to integrate third-party apps effectively to help us achieve our goals
  • Stay awake throughout the night to get the job done

What's next for Tune.AI

We hope to enhance the platform's functionality, user engagement, and accuracy by allowing users to interactively add, modify, and validate their skills and experiences through a more engaging UI, possibly using gamification. We also hope to implement a feedback loop where users can provide feedback on the recommendations and generated content, which can be used to fine-tune the algorithms.

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