Delhi Transport Department to Use AI Powered Virtual Assistant

As a seasoned analyst with years of experience navigating various government departments and their digital transformations, I am genuinely excited about this ambitious project by the Delhi Transport Department. The integration of AI technologies to streamline operations and provide seamless services to citizens is a step in the right direction.

The Delhi Transport Authority intends to employ artificial intelligence (AI) virtual helpers to authenticate documents and respond to questions submitted by Delhi citizens through various online transport-related services. These AI assistants are also expected to address queries on the spot, thereby saving time for citizens, since documents like driving licenses, permits, and registration certificates will be issued more swiftly.

For this project, the Delhi Transport Department intends to introduce three major AI-based solutions:

According to their announcement, the Department plans to roll out a solution for testing across 13 different services initially. These include services like NOC, transfer of ownership, address changes on driving licenses, new vehicle registration certificates, duplicate registration certificates, new permit issuance, permit renewal, home authorization for permit renewal, renewal and duplication of fitness certificates, learner’s licenses, driving licenses, and their renewals. Once they have analyzed the results from these 13 services, they intend to extend the same solution to the remaining 34 services in the following phase.

The next step involves developing an AI-powered chatbot, such as ChatBot or GenAI, which we’ll integrate into our department’s website. This AI chatbot will be bilingual, capable of helping both citizens and staff with their questions in either English or Hindi.

The official explained that the dashboard would allow executives to monitor the status of services on a Regional Transport Office (RTO) basis. This includes the total number of applications received and processed, turnaround times, pending cases, reasons for delays, and other valuable data points to improve operations.

Read More

2024-12-23 16:20