🚗 Delivery Stats

# Task

Create a tool to extract data about my gig delivery shifts from screenshot images.

# Background

I take screenshots during deliveries to record information about the details of each offer. Tracking the data helps me in multiple ways. The most straight forward benefit is being able to reference the screenshots when communicating with the Driver Support team. Giving accurate details about a delivery when issues or discrepencies arrise has help me recieve better help.

What I also needed, was a faster way to extract additional data points about my shifts from the those screenshots. Collecting and analyzing data to understand my activity, such as the time spent driving versus waiting at the restaurant, has improved my earnings by helping me make better decisions about what offers are worth Accepting or Declining. Manually going through the images, however, is a slow and arduous task.

# Solution

Using a python library for Optical Character Recognition (OCR) I am able to proccess the text from the screenshots with moderate accuracy. Around the OCR process I am building a database and a web interface to assist in proccessing and validating the text output.

Additional features that I would like to add to the application center around a dashboard to present the analyzed data.

mysql vite react python mikro-orm