Autonomous Market Insight Collection and Summarization Agent

Added Jun 2025 3 design docs

Business decisions are only as good as the market intelligence behind them, and gathering that intelligence, including scanning sources, extracting signal, and assembling summaries, consumes analyst time most companies cannot spare. This project builds an autonomous agent that performs the cycle end to end. The intern builds the agent with Langchain for orchestration, LlamaIndex for indexing and querying collected material, and OpenAI models for summarization and analysis. Operating autonomously, the agent collects market information, distills it into structured insights, and generates visualizations that make trends and comparisons immediately legible to decision-makers. A FastAPI backend manages agent runs and data, while a Streamlit dashboard presents results and supports user personalization, so repeated use tunes the agent's focus to each user's interests, with the entire system written in Python. The intern learns to chain retrieval, reasoning, and presentation into a dependable automated pipeline and to evaluate the reliability of AI-generated analysis. Completing the project demonstrates the ability to turn language model capability into a business tool that produces decision-ready output, not just text.

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