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Canine Skin Disease Classification Using Convolutional Neural Networks (CNN)

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₹5,500.00
Aim: To develop a custom Convolutional Neural Network (CNN) model for accurately classifying seven common canine skin diseases, thereby improving diagnostic precision and supporting veterinary care.
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Real-Time Plant Disease Dataset Development and Detection of Plant Disease Using Deep Learning

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₹5,500.00
Aim: The primary aim of this project is to develop an advanced plant disease detection system that leverages state-of-the-art deep learning architectures, such as ResNet152V2 and EfficientNetV2B3, to achieve higher accuracy, scalability, and efficiency.
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Uncertain Facial Expression Recognition via Multi-Task Assisted Correction

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₹5,500.00
The aim of this research is to develop a robust and accurate facial expression recognition system that addresses the challenges posed by uncertain and ambiguous data. We aim to improve upon existing methods to enhance feature representation learning and uncertainty mitigation.
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