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‘For Learner’s Licence Test, Go Offline Till Online Flaws Fixed’

Experts urge offline testing methods amid ongoing online issues.

Mumbai, September 20, 2025

Need for Offline Testing

Experts are calling for the use of offline testing methods for the learner’s licence test. This recommendation comes in light of ongoing issues with the online testing system. Learner’s licence tests are essential for new drivers to gain the skills they need. However, the current online platform is fraught with flaws. Many users have faced difficulties during their assessments, leading to frustrations and delays. The situation has prompted experts to advocate for temporary offline solutions.

Impact of Online Issues

The challenges associated with the learner’s licence test online platform are hindering many aspiring drivers. Reports indicate that the website often crashes or malfunctions. This has resulted in applicants being unable to complete their tests. As a result, many have suggested reverting to offline testing until these online issues are resolved. By doing so, the government can ensure that candidates can proceed without the stress caused by unreliable technology.

Temporary Solutions

Transitioning to offline testing could offer immediate relief. It will allow the department to address the underlying issues of the online system. Moreover, it would provide a platform for candidates to take their tests without interruptions. Online systems should be improved, but the urgent need for an alternative cannot be overlooked. In the meantime, referring to past successful offline processes may be a worthwhile venture.

Experts believe that incorporating offline methods can help streamline the testing process. Candidates can receive their licences more efficiently this way. With the current frustrations surrounding the learner’s licence test, the emphasis must be on providing a solution first, improving technology later. The focus should be on ensuring that drivers are prepared for the road, and any hurdles must be cleared in the meantime.

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