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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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# π― ATS Resume Optimizer
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Fine-tuned LLM for intelligent resume analysis and optimization
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[Live Demo](your-gradio-link-here) | [LinkedIn](your-linkedin) | [Portfolio](your-site)
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## π Demo
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**Try it yourself:** [Live Demo Link](your-link)
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---
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## π‘ Problem Statement
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**75% of resumes are rejected by Applicant Tracking Systems (ATS) before human review.**
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Job seekers need help optimizing their resumes to pass ATS screening and increase their chances of getting interviews.
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## β¨ Solution
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An AI-powered tool that:
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Analyzes resume compatibility with job descriptions
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Calculates ATS scores (0-100%)
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Identifies missing keywords
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Suggests specific improvements
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Provides before/after optimization examples
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---
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## π οΈ Technical Implementation
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### Architecture
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- **Base Model:** Mistral-7B-Instruct-v0.2 (7B parameters)
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- **Fine-Tuning:** QLoRA (Quantized Low-Rank Adaptation)
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- **Training:** 2,000 resume-job description pairs
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- **Interface:** Gradio web application
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- **Deployment:** Google Colab β HuggingFace Spaces
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### Tech Stack
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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