Careeracer
What is Careeracer
Career Acer is an intelligent agent built with the Model Context Protocol (MCP) that analyzes job postings and career pages from various companies. It extracts relevant information from job titles and descriptions to predict the interview processes and generate potential interview questions candidates may face.
Use cases
Career Acer is beneficial for job seekers who want to prepare effectively for interviews with tailored insights, career coaches aiming to assist clients in practicing realistic interview scenarios, and recruiters looking to refine their interview processes by comparing them against industry benchmarks.
How to use
Users simply need to input a URL of the desired job posting or career page into the Career Acer application. Optionally, they can also provide a CV. The agent will then scrape the necessary information, analyze it, and output a structured summary that includes the predicted interview process and a list of possible interview questions.
Key features
Key features of Career Acer include job advertisement analysis, which extracts job titles and descriptions; interview process prediction, which outlines likely stages; potential questions generation, providing tailored questions; matching analysis between job requirements and candidate qualifications; and a user-friendly interface for easy input and output.
Where to use
Career Acer can be utilized in various contexts, including individual job preparation for candidates, professional coaching environments for enhancing client readiness, and in recruitment firms for evaluating and improving interview methodologies against current industry trends.
Overview
What is Careeracer
Career Acer is an intelligent agent built with the Model Context Protocol (MCP) that analyzes job postings and career pages from various companies. It extracts relevant information from job titles and descriptions to predict the interview processes and generate potential interview questions candidates may face.
Use cases
Career Acer is beneficial for job seekers who want to prepare effectively for interviews with tailored insights, career coaches aiming to assist clients in practicing realistic interview scenarios, and recruiters looking to refine their interview processes by comparing them against industry benchmarks.
How to use
Users simply need to input a URL of the desired job posting or career page into the Career Acer application. Optionally, they can also provide a CV. The agent will then scrape the necessary information, analyze it, and output a structured summary that includes the predicted interview process and a list of possible interview questions.
Key features
Key features of Career Acer include job advertisement analysis, which extracts job titles and descriptions; interview process prediction, which outlines likely stages; potential questions generation, providing tailored questions; matching analysis between job requirements and candidate qualifications; and a user-friendly interface for easy input and output.
Where to use
Career Acer can be utilized in various contexts, including individual job preparation for candidates, professional coaching environments for enhancing client readiness, and in recruitment firms for evaluating and improving interview methodologies against current industry trends.
Content
Career Acer
Please note: An anthropic api key is required to run this project.
🚀 Project Overview
Career Acer is an intelligent Agent build with Model Context Protocol (MCP) which designed to analyze career pages and job postings from any company website. By processing job titles and descriptions, the agent predicts the typical interview process and generates a list of potential interview questions you might encounter for that role.
✨ Features
- Job Advertisement Analysis: Input a URL to a career or job posting page; the agent extracts and understands the job title and description.
- Interview Process Prediction: Based on the company and role, the agent predicts the likely interview stages (e.g., phone screen, technical, behavioural).
- Potential Questions Generation: Produces a list of tailored interview questions you may be asked, including technical, behavioural, and company-specific topics.
- Matching Analysis: Based on the job information and cv, analysis of the match between the job requirements and the candidate’s qualifications.
- User-Friendly: Simple interface for inputting job URLs and receiving structured output.
- Customizable: Works for a wide range of companies and job types.
🛠️ How It Works
- Input: Provide a link to a job posting or career page, and optionally a CV.
- Extraction: The agent scrapes and parses the job title and description.
- Analysis: Using AI, it infers the company’s typical interview process and likely questions.
- Output: You receive a structured summary of the interview process and a list of potential questions.
📦 Example Usage
# replace 'your_anthropic_api_key' with your actual API key
python ./carerracer/ca_chatbot.py
💡 Use Cases
- Job Seekers: Prepare for interviews with company-specific insights.
- Career Coaches: Help clients anticipate and practice for real interview scenarios.
- Recruiters: Benchmark your own interview process against industry standards.
📈 Roadmap
- [x] Job Advertisement Analysis functinoality
- [x] Potential Questions Generation functionality
- [x] Matching Analysis functionality
- [ ] Intergration with free lmm api providers (e.g., Cerebras)
- [ ] User Interface for input and output
- [ ] (Maybe) Integration with popular job boards (e.g., Indeed, Glassdoor)
🤝 Contributing
Contributions are welcome! Please open an issue or submit a pull request.
📄 License
MIT License