Ml based finance advisor and budget optimizer

HIGHLIGHTS

• What: The paper proposes an advisory system for on a cross platform mobile application of Android and Flutter implementation of algorithm which is designed to analyze users` financial data and come up with a personalized recommendation for optimization. Building on these conclusions, this research proposes an all -rounded finance advisory system with predictive power through ml accessed and used by a mobile application -a solution bridging current gaps in financial advisory solutions while offering a proactive approach towards budget optimization.
• Who: Microsoft Office User from the School of Engineering, Ajeenkya DY Patil University, Pune, Maharashtra . . .
  

   

  

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