Deep Learning Image Classification Intern – NIAB Hyderabad
ImageClassification
I developed deep learning algorithms to classify LFA strip images to quantify NS1 protein concentration as part of a research internship. The project involved image data preprocessing, training, and evaluation using advanced deep learning models. My contribution focused on ensuring accurate image-based quantification and report generation for biomedical applications.
• Collaborated closely with research mentors at NIAB Hyderabad.
• Applied machine learning techniques specific to biomedical strip images.
• Integrated automated classification outputs into an app-based quantification system.
• Gained hands-on experience with image annotations and clinical datasets.
I developed deep learning algorithms to classify LFA strip images to quantify NS1 protein concentration as part of a research internship. The project involved image data preprocessing, training, and evaluation using advanced deep learning models. My contribution focused on ensuring accurate image-based quantification and report generation for biomedical applications. • Collaborated closely with research mentors at NIAB Hyderabad. • Applied machine learning techniques specific to biomedical strip images. • Integrated automated classification outputs into an app-based quantification system. • Gained hands-on experience with image annotations and clinical datasets.
2025 - 2025