AI-Driven Robo-Advisor for Personalized Investment Management

By Zafri Categories: Finance, Fintech
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About Course

  • Tools & Languages: Python, R, Scikit-learn, TensorFlow, Flask, React, AWS, SQL
  • Objective: Build a robo-advisor platform that uses AI/ML models to provide personalized investment advice to users based on their financial goals, risk tolerance, and market conditions. Develop the recommendation algorithm, backtest strategies, and ensure it integrates with financial APIs to fetch live data. Use a Flask/React stack for the platform’s front and backend.
  • Skills Needed: AI/ML (Python, R), financial portfolio optimization, risk analysis, API integration, web development (Flask, React), AWS cloud deployment.

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