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Our Projects
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Transfer Learning-Based VGG19 Approach for Accurate Eye Disease Classification
Developed a deep learning model using the VGG19 architecture to classify eye diseases like glaucoma, cataracts, and diabetic retinopathy
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Advancements in Breast Cancer Detection
Conducted a comprehensive review of AI and medical imaging techniques to improve early detection and diagnosis of breast cancer.
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DE-RETINA: Explainable AI Framework for Retinal Disease Detection
Designed a multi-stage attention-based AI framework for diagnosing retinal diseases in OCT images with enhanced explainability and precision.
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Optimizing CNNs with Bacterial Foraging Optimization
Improved diagnostic accuracy by optimizing convolutional neural networks (CNNs) using the Bacterial Foraging Optimization algorithm.
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Stock Market Analysis Web App
Developed an intuitive web application for real-time stock market analysis, enabling users to track trends and make informed investment decisions.
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Revolutionizing Blood Cell Disease Diagnosis
Explored the use of Bacterial Foraging Optimization and advanced machine learning techniques for enhanced detection and classification of blood cell diseases.
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Microgrids: Improving Performance with MTCFN Over LSTM
Proposed an advanced Multi-Temporal Convolutional Fusion Network (MTCFN) to improve the efficiency and performance of microgrids compared to traditional LSTM models.
Effects of Logistics Management on SMEs in Tamil Nadu
Analyzed the impact of effective logistics management on the operational performance of small and medium enterprises in Tamil Nadu.
