Authors :
Sonam Chopade; Swapnil Mahajan; Sumedh Shinde; Isha Kulkarni; Rizwan Sheikh; Isha Jha; Tarun Satpute
Volume/Issue :
Volume 9 - 2024, Issue 4 - April
Google Scholar :
https://tinyurl.com/4p62wc7m
Scribd :
https://tinyurl.com/2sjt8vz3
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24APR134
Abstract :
This paper presents AutoTix, an automated
bus ticketing and exit control system aimed at
transforming public transportation. By leveraging
modern software technologies like Python, PyQt, NLP,
pyqrcode, and speech recognition, AutoTix addresses
issues such as long queues, fare calculation errors, and
security vulnerabilities inherent in traditional systems.
Through streamlined operations and enhanced security
measures, AutoTix sets a new benchmark for
convenience, security, and accessibility in bus travel. With
its potential to reshape urban mobility amidst rapid
urbanization and growing demand for efficiency, AutoTix
offers passengers a seamless journey experience.
Keywords :
Python, Pyqt, NLP, Pyqrcode, Speech Recognition, Efficiency, Security, Accessibility.
This paper presents AutoTix, an automated
bus ticketing and exit control system aimed at
transforming public transportation. By leveraging
modern software technologies like Python, PyQt, NLP,
pyqrcode, and speech recognition, AutoTix addresses
issues such as long queues, fare calculation errors, and
security vulnerabilities inherent in traditional systems.
Through streamlined operations and enhanced security
measures, AutoTix sets a new benchmark for
convenience, security, and accessibility in bus travel. With
its potential to reshape urban mobility amidst rapid
urbanization and growing demand for efficiency, AutoTix
offers passengers a seamless journey experience.
Keywords :
Python, Pyqt, NLP, Pyqrcode, Speech Recognition, Efficiency, Security, Accessibility.
