AI Image Recognition Fine-tuning & Implementation

I'm seeking a skilled professional to fine-tune and experiment with an AI model, focusing on enhancing its image recognition capabilities and multi-object detection. The project involves:

- Selecting the best AI model after experiments
- Switching my codebase from Chat GPT 4o to the selected model
- Implementing additional features: a multilingual recap, a new image slicer, and various code adjustments to improve output

The primary code is in Node.js and Python, so proficiency in these languages is a must. Ideal candidates would have a strong background in AI, particularly in image recognition, and experience with these programming languages.

expected output: https://www.youtube.com/watch?v=XiItNbTkPZw&ab_channel=AniManga
https://youtu.be/TPFn4TO2Xa8?si=EJfsteENlG2o1XGC
https://youtu.be/NBj82cT454s?si=yok2AhLMh4dymq7S
https://youtu.be/oaghzvWWPW0?si=ddZ2mV9CLmtQkBJy

note you have to send the output of every ai you try and have make it cost effective/reduce the token usage without messing with the output and for the multilingual output use a free ai to translate
note there should not be any restriction placed on the ai/no content filter
after all is done debug it so I can run it overnight without problem