suvarnalatha kamadi

I’m a motivated, detail-oriented B.Tech graduate in Artificial Intelligence with hands-on experience building an AI skincare detection model. I focus on turning datasets into accurate, reliable computer vision outcomes using practical deep learning workflows.

In a 3-month internship project, I developed a deep learning model to classify common skincare issues like acne, pigmentation, and dryness from facial images. I collected and preprocessed over 1000 labeled facial images, then used OpenCV with image augmentation to strengthen dataset quality.

I built and trained a CNN-based architecture using TensorFlow/Keras, leveraging Python throughout the pipeline. I achieved ~85% accuracy on the test dataset and evaluated performance with confusion matrices and accuracy/loss plots.

Beyond modeling, I fine-tuned the system and implemented a simple UI for uploading images and returning predictions. I’m now seeking an entry-level AI/ML Engineer role where I can apply machine learning, computer vision, and Python programming to real-world challenges.