Transformers
Safetensors
English
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  According to the August 2025 jobs report, overall unemployment has risen, with the unemployment rate for workers aged 16-24 rising to 10.5% [August 2025 jobs report](https://www.bls.gov/). The primary demographic
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  of this age range is recent college graduates, many of whom carry student loan debt and are unable to find stable, long-term employment. While this could be
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  attributed to any of the various economic challenges facing the US today, there is speculation that it may
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- be due to insufficient skills regarding job-hunting and interviews. There are many resources that seek to fill this gap, including interview-prep LLMs such as InterviewsPilot [InterviewsPilot](https://interviewspilot.ai/). However, there is not an LLM that
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  combines multiple features into an end-to-end, user-friendly application, specifically designed to improve an applicant's chances of successfully
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  completing the job-application cycle. Current LLMs struggle to provide accurate interview preparation based on specific jobs and are not finetuned based on
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  the user's profile. They tend to hallucinate and struggle to include specific user details when developing answers to interview questions, resulting in generic responses.
 
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  According to the August 2025 jobs report, overall unemployment has risen, with the unemployment rate for workers aged 16-24 rising to 10.5% [August 2025 jobs report](https://www.bls.gov/). The primary demographic
13
  of this age range is recent college graduates, many of whom carry student loan debt and are unable to find stable, long-term employment. While this could be
14
  attributed to any of the various economic challenges facing the US today, there is speculation that it may
15
+ be due to insufficient skills regarding job-hunting and interviews. There are many resources that seek to fill this gap, including interview-prep LLMs such as [Interview Copilot](https://interviewcopilot.io/). However, there is not an LLM that
16
  combines multiple features into an end-to-end, user-friendly application, specifically designed to improve an applicant's chances of successfully
17
  completing the job-application cycle. Current LLMs struggle to provide accurate interview preparation based on specific jobs and are not finetuned based on
18
  the user's profile. They tend to hallucinate and struggle to include specific user details when developing answers to interview questions, resulting in generic responses.