-
Notifications
You must be signed in to change notification settings - Fork 355
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Autism Identification System using Machine learning #525
Comments
Thanks for creating the issue |
Please assign this to me under GSSoC'24, I am eager to contribute. |
Hi, myself Rounak Sarkar, proficient in Machine Learning algorithms. |
Hey, I request to be Assigned to Autism Identification System Project. I have a solid foundation in machine learning techniques, including data preprocessing, model development, and evaluation. While my previous projects weren't in healthcare or autism identification, I'm eager to expand my skills and contribute to this impactful project. With my background and dedication to learning, I'm confident I can make valuable contributions. Looking forward to collaborating with the team. Thanks for considering my request. |
Hey, I would like to work on this issue under GSSOC'24. I have prior experience on working with medical data and i am proficient with methods of data preprocessing, model development and evaluation metrics. You can see my ML project which includes preprocessing PPG data and building a model which is 94.5% accurate. I am also familiar with Git environment. Thanks for considering this request. |
Hi @Niketkumardheeryan |
The issue has been assigned to you , Please follow project guidelines for PR. Issue assigned based on FCFS. |
PLease cretae a new Issue if you want to work on same project. |
sir i have created new issue here #568 |
Autism Identification System #525
Problem statement:- Autistic Spectrum Disorder (ASD) is a neurodevelopmental condition associated with significant healthcare costs, and early diagnosis can significantly reduce these. However, the current wait times for ASD diagnosis are prolonged, and existing procedures lack cost-effectiveness. A time-efficient and accessible ASD screening tool is essential to aid healthcare professionals and guide individuals toward pursuing formal clinical diagnosis. The goal is to develop machine learning techniques to make this screening process faster and more effective.
Please assign me to this issue under tag gssoc'24 , sir @Niketkumardheeryan
The text was updated successfully, but these errors were encountered: