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A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning with Explainable AI

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₹5,500.00

Aim:

          The aim of this work is to develop an accurate and interpretable machine learning framework for early-stage detection of Autism Spectrum Disorder (ASD) by integrating explainable artificial intelligence techniques to enhance clinical trust and decision transparency.

 
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Advancing Ovarian
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Advancing Ovarian Cancer Diagnosis Through Deep Learning and Explainable AI: A Multiclassification Approach

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₹5,500.00
To develop a robust and interpretable AI system for ovarian cancer diagnosis using multiclassification techniques and advanced deep learning models, including ResNet152V2, EfficientNetV2B3, and ResNet50V2.
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Integrating Sentiment Analysis with Machine Learning for Cyberbullying Detection on Social Media

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₹5,500.00

Aim:

          To improve the accuracy and efficiency of cyberbullying detection in social media text by utilizing an advanced machine learning model (DistilBERT) that overcomes ambiguity and classification challenges.

 
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