BANDA SAI KIRAN

Motivated candidate aiming for a dynamic role in computer science, focused on utilizing technical skills to support and enhance company development.

AI-powered Smart Attendance System

• Designed and developed a smart attendance system using facial recognition to enable real-time, contactless attendance tracking.
• Employed Convolutional Neural Networks (CNNs) and deep learning techniques to perform accurate face detection and recognition under diverse lighting and angle conditions.
• Integrated OpenCV for video frame processing and TensorFlow/Keras for deep learning model training and inference.
• Ensured tamper-proof and automated attendance logging, eliminating manual processes and reducing human error.
• Optimized model performance for real-time application with minimal latency, suitable for integration in enterprise or academic settings.
• Technologies: Python, OpenCV, TensorFlow, Keras, CNNs, NumPy, Pandas.

• Playing Cricket
• Cycling
• Painting

• Certified in Python by NPTEL
• Certified in Data Science by NPTEL