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Symptom Enhanced Disease Detection using CNN and Siamese Neural Network

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Symptom Enhanced Disease Detection using CNN and Siamese Neural Network

  • Project Focus: Early disease detection through ocular images.
  • Key Methodology: CNN for feature extraction, Siamese NN for similarity measurement.
  • Target Population: Millions facing visual impairments in India.
  • Benefits: Reduces blindness prevalence by detecting diseases at incipient stages.
  • Technological Tools: Python, TensorFlow, Flask, HTML, CSS, BERT, CNN, Pandas, Matplotlib, Siamese NN.
  • Market Strategy: Digital campaigns, collaborations with healthcare professionals.
  • Impact: Transformative for individuals' health and well-being.
  • Innovation: Advances disease diagnostics through AI-powered tools.
  • Future Outlook: Redefines precision medicine with cutting-edge ML integration.

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  • HTML 49.9%
  • Python 44.4%
  • JavaScript 5.7%