FintraSync-Conductor and RAISE track

PROBLEM: There is a lack of personalized investment advice application that tracks Stock performance and relevant news, takes into hidden risks (fraudulent transactions/insider trading) for advice and provides complete Portfolio and Scenario Analysis. SOLUTION: We are building a personalized, Agentic AI Finance companion with a mobile interface for easy access to provide portfolio forcecast analysis, investment advice based on risk profile and Complete Portfolio and Scenario Analysis. IMPLEMENTATION We built - Fintra Mobile App: React Native developed using Natively AI co-pilot - deployed to expo.app, expo GO - FintraSync Analysis Engine: Grok, Llama powered multi-agent, MCP, python based analysis engine - deployed to Render - Used Live financial information from finnhub.io - Fraud Detection, Insider Trading: Attempted Agents using Coral Framework. - Voice integration: Attempted on the mobile app using Grok, Llama FUTURE A ROBUST Investment Advisor with - Dynamic Agentic Framework and Platform - Validation framework for analysis results - Include fraud detection, insider trading, human emotion, sentiment analysis and additional economic indicators for better accuracy