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@article{162574,
        author = {Rakshita Bhatia and Divyam Dang and Deepak Gaur},
        title = {Autism Prediction using ai , ml nlp},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {10},
        pages = {591-596},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=162574},
        abstract = {This study explores the use of machine learning algorithms for early detection of Autism Spectrum Disorder (ASD), a neurodevelopmental condition affecting linguistic, cognitive, and social abilities. The research uses various algorithms, including Support Vector Machines, Random 
Forest, Naïve Bayes, Logistic 
Regression, and K-Nearest Neighbours, to identify ASD indicators during its early stages. Logistic Regression is found to be the most accurate predictive model, with Random Forest achieving the highest accuracy at 89.23%. This research offers a cost-effective and timely screening approach for ASD, improving the quality of life for affected individuals. 
},
        keywords = {},
        month = {},
        }