PocketPilot - Your Smart Financial Co-Pilot

In this work, we propose PocketPilot: a smart financial assistant, designed to facilitate personal expense tracking, use

artificial intelligence for intelligent decision making, and demonstrate its implementation with an active learning pipeline. The

application is built on many emerging technologies, including OCR for taking pictures of receipts, NLP for intelligent category

selection, and voice processing for people-friendly data entry. Our tool plays a predictive role in achieving financial goal and

utilizes machine learning to suggest modifications in its predictions. Expense capture from receipts, SMS alerts, or voice input:

thereafter, the system shall automatically classify the expenses to the most likely categories such as Rent, food, travel, medical

based on AI and machine learning. The system shall predict future spending using machine learning, thus enabling people to

budget for things which are budgeted for such health emergencies. The feature shall also allow the customers to receive

recommendations or financial advice based on the spending trend. The project builds upon limitations identified in existing

research, particularly the IEEE paper ‘‘AI-Driven Financial Insights for Personal Budget Planning,” by introducing a more

proactive and intelligent approach to financial wellness. This paper outlines the system’s architecture, methodologies, and

implementation roadmap, demonstrating its potential as a student-led innovation in AI-powered expense management.