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.
Microinsurance is like conventional insurance but targets the lower-income market and households with low financial reserves. Many low-income families have limited education and financial literacy, and microinsurance helps to overcome these challenges.
Let's take a closer look at seven factors that will help us comprehend why these transformations will be revolutionary. We will contrast human inspections against AI inspections to grasp the true extent of these changes.
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.