Help with path planning, obstacle bypass and voice command (Jarvis) integration

[Emmytheo]

Hello David,
I'm Emmanuel by name, an undergraduate of Electronics and Computer Engineering, and I must say, your work on this project has been my biggest inspiration this year. I've seen other low budget self driving car projects but honestly none shows much promise as yours and the fact that it involves stuff like computer vision, deep learning, object detection, regression and some dedicated intuition makes it more than suitable for an amazing paper and project. Thank you for opening my eyes to this level of AI Sophistication.

Now I've been following your work in detail and I'm kinda reproducing this project except for the pi car(cos it's really pricey for me right now) cos it's my absolute favorite when it comes to robotic self driving cars.

I'm using a different car chassis and a motor hat.
So my issue is,
I want to implement some cool bypassing of obstacles and some path planning (with the current sensors ie ultrasonic and front facing camera) and also some Jarvis integration.

You mentioned that the bypassing could be achieved by either deep learning or hand coded rules.
Can you walk me through how I can integrate the latter(hand coded rules) into the existing model and driving script.
And also some help with the Jarvis integration will be very much appreciated.

I look forward to hearing from you really soon cos I've got a deadline of 1month.
Thanks for your time.