Welcome to my GitHub! I'm a passionate Computer Science student exploring innovative projects and creating sustainable tech solutions.

• 🏫 Education: Computer Science, Government College of Engineering and Research, Avasari (GCOEARA)
• 🤖 Working on a Disease Prediction Project (Heart Disease, Diabetes, Parkinson's Disease, and Skin Diseases)
• 🛡️ Cybersecurity Enthusiast, exploring how to secure digital systems and protect data.
• 🧠 Learning Data Structures and Algorithms in Java
• 💡 Interested in Machine Learning, React, Cybersecurity, and Environmental Ethics

• 💻 Disease Prediction Website:
  A web application utilizing machine learning to predict diseases like:
  • Heart Disease
  • Diabetes
  • Parkinson's Disease
  • Skin Diseases
• 🔐 React Login Page: Authentication with AuthContext and dynamic form handling.

The Skin Disease Prediction module is a significant component of the larger Disease Prediction Project. It aims to assist in the early detection of various skin conditions and improve the accuracy of diagnoses.

• 🧪 Classification: Predicts multiple skin diseases using machine learning models trained on structured medical datasets.
• 🖼️ Image Processing:
  • Planned integration of Convolutional Neural Networks (CNNs) for analyzing dermatological images.
  • Support for high-resolution image uploads and analysis.
• 🌟 Key Focus Areas:
  • Early identification of conditions such as eczema, psoriasis, melanoma, Melanocytic Nevi ,Basal Cell Carcinoma:.
  • Providing probabilistic scores for diagnosis to aid dermatologists.
  • Leveraging ensemble methods to improve prediction accuracy.
• 📈 Future Enhancements:
  • Integration of LSTM models for temporal analysis in chronic conditions.
  • Building a user-friendly dashboard for patients and healthcare professionals to track predictions and visualize progress.
  • Support for multilingual interfaces to make the tool accessible globally.