RL
Rohan Lopes
Sr Architect
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    ProfitPilot AI Business Optimization Assistant

    An intelligent, multi-agent assistant empowering small and medium-sized businesses with data-driven insights and actionable recommendations using cutting-edge AI and cloud data solutions.

    AI-Generated Summary

    ProfitPilot AI is an intelligent, multi-agent assistant that gives small and medium-sized businesses the kind of data-driven guidance usually reserved for larger firms. A Root Agent interprets user queries and delegates to specialized sub-agents: an Onboarding Agent that sets up the business and discovers competitors via Google Maps, a Comparison Agent that mines public reviews for competitive intelligence, and a Business Analyst Agent that surfaces sales trends, inventory levels, and strategic pricing advice. Built on Google Cloud with Gemini 1.5 Flash, BigQuery for data warehousing, and the Google Maps Places API, it even seeds simulated data so new businesses can start immediately. As AI architect and developer, Rohan designed the agent architecture, integrated each Google service, and built the core logic for every specialized agent.

    Project Demos & Resources
    Explore the project’s code and documentation on GitHub.
    Details

    ProfitPilot AI Business Optimization Assistant

    My Role

    AI Architect & Developer

    Problem Solved

    Small and medium-sized businesses often lack the resources and expertise to leverage data for optimizing profitability, managing inventory, and understanding market dynamics.

    Key Contributions

    Designed and implemented the multi-agent architecture, integrated Google Gemini 1.5 Flash API, Google BigQuery, and Google Maps Places API, developed the core logic for each specialized AI agent, and managed deployment.

    Technologies Used

    Google Gemini 1.5 Flash API
    Google BigQuery
    Google Maps Platform
    Python
    Flask
    Google My Business (GMB)