Leveraging real-time IoT sensor data .

Utilizing Random Forest & XGBoost for failure prediction with 95% accuracy.

Visualizing graphs, charts and preparing reports and dashboards.

Leveraged OCR to train character recognition models using datasets.

Utilized deep learning with CNN to digitize and interpret prescriptions.

Integrated MySQL for database synchronization.

Telegram API to deliver real-time alerts on drug manufacturing details and pricing, enhancing prescription management.

Trained the GAN model on 3k+ low and high-res image pairs for realistic output.

Fine-tuned the model using adversarial and pixel-wise loss to improve image clarity.

Validated model performance by comparing generated images with ground truth.