AI Recruitment Platform

AI Recruitment Platform is a multi-agent system designed to automate and enhance the job discovery process for software and data professionals. The platform continuously collects job postings from multiple sources, including LinkedIn and staff.am, and processes them through a collaborative network of specialized agents. The system is built around a three-agent architecture. The Ingestion Agent is responsible for crawling, collecting, and normalizing job postings from various online sources. Once jobs are gathered, the Scoring Agent evaluates opportunities based on predefined criteria such as role relevance, skills, location, employment type, and other metadata. Finally, the Recommendation Agent analyzes the ranked opportunities and generates personalized recommendations for users. To demonstrate the agent workflow, the platform includes an interactive dashboard that visualizes the entire pipeline from data ingestion to recommendation generation. Users can monitor crawler activity, view job statistics, inspect processed opportunities, and observe how agents collaborate to transform raw job data into actionable recommendations. The project addresses a common challenge faced by job seekers: discovering relevant opportunities quickly across fragmented platforms. By automating job collection and leveraging agent-based processing, the system significantly reduces manual effort while increasing coverage and relevance. Key features include: • Multi-source job crawling and aggregation • Autonomous multi-agent workflow • Job scoring and ranking engine • Recommendation generation pipeline • Real-time dashboard and monitoring • SQLite-based persistence layer • Smart fallback mechanisms for high availability • Streamlit-powered user interface The platform demonstrates how multi-agent systems can be applied to real-world productivity and career development problems, showcasing autonomous collaboration, workflow orchestration, and practical AI-assisted decision-making.