Gen AI – Expense Tracker: AI Powered Insights for Smarter Expense Management
Alt Text: Gen AI – Expense Tracker: AI Powered Insights for Smarter Expense Management
Title: Gen AI – Expense Tracker: AI Powered Insights for Smarter Expense Management
Caption: AI-driven expense tracker enhancing financial management through automation and analytics.
Description: This research explores how AI-powered expense tracking systems optimize cost-efficiency and improve user experience through automation and predictive analytics.
Keywords: AI, Expense Tracking, Financial Management, Predictive Analytics, Automation
International Journal of Engineering and Techniques – Volume 10 Issue 5, October 2024
Poornima Doijad1, Neeraj Mohol2, Ashish Nishad3, Nandkishor Nelekar4, Omkar Kolate5
1Computer Department, Sinhgad Academy of Engineering, Pune. Email: poornimadoijad.sae@sinhgad.edu
2Computer Department, Sinhgad Academy of Engineering, Pune. Email: neerajmohol19@gmail.com
3Computer Department, Sinhgad Academy of Engineering, Pune. Email: ashishnishad1@gmail.com
4Computer Department, Sinhgad Academy of Engineering, Pune. Email: nelekarnandkishor@gmail.com
5Computer Department, Sinhgad Academy of Engineering, Pune. Email: omkolate1018@gmail.com
Abstract
With AI increasingly reshaping financial management, this study analyzes AI-powered expense tracking systems that optimize cost-efficiency while enhancing user experience. AI-driven automation, predictive analytics, and engagement strategies are explored to demonstrate progress in financial tracking. The paper also highlights key challenges, including data privacy, algorithmic bias, and user-centric design considerations, recommending future research on AI transparency and trust-building.
Keywords
AI, Expense Tracking, Financial Management, Predictive Analytics, Automation
How to Cite
Poornima Doijad, Neeraj Mohol, Ashish Nishad, Nandkishor Nelekar, Omkar Kolate, “Gen AI – Expense Tracker: AI Powered Insights for Smarter Expense Management,” International Journal of Engineering and Techniques, Volume 10, Issue 5, 2024. ISSN 2395-1303.
Post Comment