ProfScope AI: The Research Gap Matchmaker

Applying for a fully funded PhD is a nightmare. Students spend hours reading dense papers, trying to understand a professor's research journey, and ultimately sending generic emails that get ignored. ProfScope AI solves this by acting as an automated academic intelligence pipeline. Unlike ChatGPT or NotebookLM which just summarize text, ProfScope AI performs deep cross-referencing. The system features a multi-agent agentic workflow: 1. The Advisor Agent: A conversational chatbot (powered by Llama 3.3 70B via Groq) that helps students find the right professor based on their niche interests. 2. The Analyzer Agent: Retrieves the professor's core publications and evaluates the student's skills against the research. 3. The Gap Detector Agent: Reads across multiple papers simultaneously to map the professor's research trajectory and identify specific, unexplored gaps. 4. The Strategist Agent: Writes a highly personalized cold email that positions the student as the "missing puzzle piece" to fill that exact research gap. Built entirely with open-source models, Gradio, and fast inference, it turns a 3-hour manual research task into a 30-second automated workflow.