lekhsisodiya/LATENT_5XX
title: LATENT 5XX emoji: 🌍 colorFrom: purple colorTo: pink sdk: streamlit sdkversion: 1.37.1 appfile: app.py pinned: false license: mit ---
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
Optimized ATS with IBM WatsonX LLaMA 📄
Optimized ATS with IBM WatsonX LLaMA is a web-based application designed to evaluate resumes against job descriptions using a sophisticated AI model. The application utilizes IBM WatsonX's LLaMA model to provide in-depth match scores and feedback, streamlining the recruitment process for both applicants and recruiters.
UI Appearance 🖼️
Features ✨
- AI Match Scoring: Uses IBM WatsonX's LLaMA model to analyze resumes and job descriptions, providing detailed feedback and match scores.
- Interactive Interface: Built with Streamlit for an engaging and user-friendly experience.
- Versatile File Processing: Supports both individual PDF resume uploads and ZIP files containing multiple resumes.
Technologies Used 🛠️
Deployments 🌐
The Optimized ATS with IBM WatsonX LLaMA project can be deployed on HuggingFace
Local Version
- Runs as a Streamlit application.
- Features an interactive UI for both applicants and recruiters to process and analyze resumes.
Example Usage 🧪
- Applicant Tab: Upload your resume and paste the job description to receive a vector match score and AI-generated feedback.
- Recruiter Tab: Upload a ZIP file containing multiple resumes and a job description to get a ranked list of top candidates based on ATS match scores and AI feedback.
Future Development 🚀
- Enhanced Model: Improve the LLaMA model's accuracy and capabilities for better resume analysis.
- Additional Features: Introduce new functionalities such as automated interview scheduling and candidate ranking.
Contact 📬 For more information or to get in touch, please email lekhsiosdiya@gmail.com Phone number: 917904191