Troubleshooting R Box Plot for mixed regression model ASAP

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I have a mixed regression model in R and I'm having trouble with my visualization. The primary task at hand is to ensure that the 95% confidence intervals are displayed correctly in the box plot.

Key Requirements:
- Expertise in R and data visualization
- Experience in working with mixed regression models
- Ability to manipulate box plots effectively

I have fitted a model using lmer and buildmer to predict the time taken (seconds) to complete an item in a condition (Toy.Source). To correct for skewdness in the data I logged my time value.
Here is the model formula:
m.Time <- buildmer(log_time ~ Toy.Source + (1 + Toy.Source|Participant) + (1 + Toy.Source|Item) , data=PythonTime_no, buildmerControl=buildmerControl(args=list(control=lmerControl(optimizer='bobyqa'))))
I have created a box plot using ggplot showing predicted log time which is labelled 'log_time' against 'Toy.Source'. with the time scale to be backtransformed to seconds using original time in seconds measure 'Time' from the original data.

I need help with the following:
1. Check I have logged time correctly
2. I want the plot to show the 95% confidence intervals.


I provide the dataset and my R script in the zip attached.

This is an urgent task, so I am looking for someone who can complete it as soon as possible. If you have experience working with R and box plots, and you're confident in your ability to troubleshoot this issue, I would love to hear from you.