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I will use machine learning to train custom ai model on audio
Uvesh Imam
About this gig
I Will Train a Custom AI Model for Audio Processing Using Machine Learning ️
Are you looking for a custom AI model trained on audio data? Whether you need speech recognition, prediction, sound classification, or music analysis, I can build a machine learning model tailored to your specific requirements!
Why Choose Me?
Experienced AI Developer with expertise in machine learning & deep learning.
Custom Solutions tailored to your specific needs.
Fast Delivery & Support to ensure smooth implementation.
Let's bring your audio AI project to life! Contact me now, and lets discuss your requirements.
Note: Don't place any order before discussion between us. First I need to understand your complete requirements. Without doing prior discussion it you are not getting your expected results then I am not responsible for it also no refunds for it.
Get to know Uvesh Imam
Uvesh Imam
Ai, Software Engineer with Entrepreneurship
- FromIndia
- Member sinceJan 2019
- Avg. response time1 hour
- Last delivery1 month
Languages
English, Hindi
Uvesh is a Tech geek and a passionate supporter. Completely involved in app business, app development and also working on Ai, Machine Learning (models), Stable Diffusion and doing ASO on Apple App Store and Google Play Store Platform along with apple search ads and google Adwords app campaigns. Providing help and support to companies as per their needs. I would love to meet founders of tech companies, co-founders, CEOs/CTOs and investors in such companies/categories.
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FAQ
If we place any order without prior discussion with you then do we get any refunds if we didn't get the exact expected results?
No. Completely No. That's Y I request everyone to please drop a message to me and discuss your exact requirements in the chat for what you are looking for exactly.
What we expect as an output file from you?
Trained AI model file with .pkl file along with confusion matrix graph. final output file Extension can be vary based on the algorithm used to prepare datasets as well as train the particular datasets.
