CVCompass is a talent management tool that accelerates talent matching by evaluating candidate strength and compatibility. It uses AI to analyze resumes and job descriptions, bridging gaps in applicant tracking systems. Features include integration with major platforms, local data processing, personalized feedback, and interactive visual charts. It is powered by a language model and offers open-source accessibility.
Features
Powered by LLM
The application uses Llama model by Meta to evaluate and score the candidate's strength.
No Login Flow
Allows users to get started instantly without the need for sign-ups, thus removing barriers between the user and the application.
Local Processing
Most of your data is stored and managed from your cached memory, ensuring a seamless and secure experience.
Interactive Charts
Provides dynamic, interactive charts to visualize candidate strengths, weaknesses, and key insights for quick decision-making.
Personalized Feedback
Offers job-description specific feedback and recommendations to improve a candidate's performance.
Open Source
The codebase is open for users to contribute on GitHub, allowing users to customize and enhance the tool.
Resume Upload
Users can upload their resume in PDF format by dragging and dropping files or clicking to upload. This feature is designed to quickly input resumes for analysis.
Job Description Input
Allows users to paste a job description or a brief summary. This helps tailor the resume feedback to a specific job or role.
Model Selection
Users can select a particular model or template to assess their resume against different criteria, enhancing customization.
Feedback Generation
Generates feedback based on the uploaded resume and job description. This helps users improve their resume quality by providing targeted advice.