deepshikhar23/ai-ms-excel-interviewer
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๐ค Excel Pro-Sim: AI-Powered Interviewer
A fully autonomous, multimodal AI agent that conducts practical mock interviews for Microsoft Excel skills.
About The Project
This project is an AI-powered assessment tool designed to automate the technical screening of candidates for Excel proficiency. Instead of a simple Q&A, this agent presents candidates with real-world tasks, provides them with unique datasets, and evaluates their solutions by analyzing both their written explanation and visual proof in the form of screenshots.
Key Features
- ๐ค Multi-Agent System: Built with LangGraph, the application uses a robust, stateful agentic architecture to manage the interview flow.
- ๐๏ธ Multimodal Evaluation: Leverages Google's Gemini Vision model to analyze screenshots of the user's work (formulas, Pivot Tables, etc.) providing undeniable proof of skill.
- โ๏ธ Dynamic Task Generation: Each interview session generates unique CSV datasets to ensure a novel challenge for every user.
- ๐ฃ๏ธ Interactive Experience: A web-based, conversational interface built with Streamlit.
- ๐ง Adaptive Logic: The graph is designed to be easily scalable with an adaptive engine that can adjust question difficulty in the future.
Tech Stack
- Orchestration: LangGraph
- LLM: Google Gemini 2.5 Flash Lite
- Frontend: Streamlit
- Core Libraries: LangChain, Pandas
- Deployment: Hugging Face Spaces
