Inspekt-GPT can generate vehicle condition reports and guide users through digital vehicle inspections. This technology holds the potential to be a highly tailored and innovative solution that leverages the best of ChatGPT and Inspektlabs API.
This post will discuss some essential guidelines users can follow for capturing micro damage through photos/videos of a damaged vehicle.
Integrating AI-based damage and repair assessment with ChatGPT can be a game changer. While AI can detect damages and generate repair estimation, we need customer interaction/inputs for complete automation.
Edge computing helps improve the efficiency of various applications, including autonomous driving, auto insurance claim processing, and vehicle inspections.
AI-based solutions are more efficient and reliable; this approach leaves little scope for human error and is based on an entirely objective framework.
This post is in continuation of our analysis of car damage detection and part identification using AI. This post will cover the precise MLOps loop architecture that enables us to generate highly accurate results for part detection.
Getting a car inspection can be a considerable expense for many, but it can also ensure that your vehicle is safe and will perform well for years. Especially with the introduction of new-age technologies, the costs of getting car inspections are no longer prohibitory.