Voicordit: Voice-to-Text Mobile Application for Daily Expenditure Tracking System Using Deep Learning

This research presents Voicordit, a novel mobile application designed for daily expenditure tracking using voice-to-text conversion technology. Voicordit leverages advanced natural language processing techniques to enable users to effortlessly record their daily expenses through voice commands. The application employs state-of-the-art deep learning models, including Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks, for accurate speech recognition and expense categorization. Additionally, Voicordit features a user-friendly interface and intuitive design, ensuring seamless interaction and accessibility for users of all backgrounds. Through comprehensive experimentation and evaluation, the effectiveness and performance of Voicordit are assessed, demonstrating its potential as a practical solution for simplifying expense tracking and financial management tasks. Overall, Voicordit represents a significant advancement in voice-enabled mobile applications for personal finance management, offering users a convenient and efficient tool for monitoring and analyzing their daily expenditures.