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Resume Reviewer Agent, Training the System, Highlight missing skills or…
Resume Reviewer Agent
Input File (PDF, CSV, Doc, HTML)
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Training the System
Training the Model
Collect a dataset of resumes and job descriptions (many open datasets are available, or use synthetic data).
Fine-tune pre-trained language models to recognize PM-specific skills, tools, and phrases.
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Fine-tune the model to detect inconsistencies in tone, grammar, and punctuation.
Use pretrained embeddings (e.g., Sentence-BERT) to compare the resume against the job description.
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- Highlight missing skills or qualifications.
- Recommend structural improvements (e.g., better format, bullet points).
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- Use AI models to match resume content with job requirements.
- Highlight missing skills or mismatches.
- Extract content from PDF.
- Structure information into categories (e.g., experience, skills).
- Reviewing Rules if any (Prompts or Layers)
- Provide personalized recommendations (e.g., add relevant keywords, improve phrasing).