Gemma 2 AI Challenge

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diana99

uchiha vivek

We have used the Gemma2-7b-it model along with the Groq API to enable faster inference and streamline the process of distinguishing between multiple resumes. Our tool is designed to simplify and enhance the hiring process by generating scores for candidates based on their resumes, compared against the specific job description provided by the HR professional.

The system requires HR to input a detailed job description, which serves as the benchmark for evaluating candidate resumes. Using advanced natural language processing (NLP) and inference capabilities, the tool analyzes the resumes and produces a score for each candidate. This score reflects the alignment between the candidate’s qualifications, skills, and experience with the requirements outlined in the job description. The scoring system helps HR teams quickly identify and shortlist the most suitable candidates for further consideration.
Our tool leverages the capabilities of the Gemma2-7b-it model to process and analyze resumes at a granular level. This ensures accurate matching between the job description and the candidate profiles. The tool identifies key skills, experiences, and qualifications relevant to the job.
The platform accepts job descriptions from any domain and with any number of features. Whether it’s a tech role requiring specialized programming skills or a management position emphasizing leadership qualities, the system is equipped to handle the unique demands of various industries.
Once the resumes are analyzed, a compatibility score is generated for each candidate. This score provides HR professionals with a clear, quantitative measure of how well a candidate meets the job requirements. The scoring process is automated, ensuring consistency and objectivity in evaluations.


We have built an HR tool to assist HR professionals in distinguishing between candidates and making final conclusions based on their performance.

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