Projects

Breast Cancer Classification

Technologies: Python, scikit-learn, Keras

  • Developed an ML model to classify patients into malignant and benign for breast cancer.
  • Achieved 96.50% accuracy and 95.47% recall using Random Forest classifier.

Classification of Tweets into Disaster and Non-Disaster

Technologies: Python, scikit-learn, TensorFlow

  • Built an ML model to classify tweets into disastrous and non-disastrous.
  • Achieved 80.90% F1 score using BERT model.

Cloud-Based File Storage System

Technologies: Java, AWS S3, AWS RDS, React

  • Created a cloud-based file storage system inspired by Google Drive.
  • Utilized AWS S3 and RDS for efficient storage and data handling.