Have you ever searched for a product, like a t-shirt, and found one you loved? But when you clicked on it, you saw a model wearing not just the t-shirt but also perfectly matching pants, cool accessories like glasses, and a stylish handbag.

Link to the deployed model to do prediction:
http://54.237.198.171:8080
Github Link of the project:
https://github.com/PranavGandhi18/Prediction_VisaApproval

The aim of this project is qualitative analysis of wheat farm produce with the help of computer vision model YoloV8. This model does foreign object detection on a given image of a sample of wheat farm produce which helps to determine the quality of that wheat produce by showing the counts of different types of foreign objects present in the sample.

Recruiting and retaining drivers is seen by industry watchers as a tough battle for our taxi booking company. Churn among drivers is high and it’s very easy for drivers to stop working for the service on the fly or jump to other taxi booking apps depending on the rates.

The market research team at a Fitness equipment selling company wants to identify the characteristics of the target audience for each type of treadmill offered by the company, to provide a better recommendation of the treadmills to the new customers.