Jyothsna Lade
 |
SMART ATTENDANCEI developed a facial recognition system with HAAR Cascade and AdaBoost, integrated into an attendance system using OpenCV. Demonstrated expertise in machine learning, computer vision, and project management. Project |
 |
HOTEL MANAGEMENT SYSYTEMI meticulously designed and implemented an Entity-Relationship (ER) model for hotels, optimizing operations and customer service. Achieved Third Normal Form, ensuring data integrity. Proficient in complex SQL queries, triggers, and views for efficient automation and user-friendly interfaces. Project |
 |
Mall Customer SegmentationI applied data mining techniques to analyze Mall customer data, utilizing Python packages like Pandas, Scikit-learn, and Matplotlib. Employed Apriori and FP-Growth algorithms to discover patterns, leading to optimized marketing strategies and enhanced customer engagement. Project |
 |
Image Colorization using cGANCreated efficient grayscale image colorization with cGAN and U-Net. Utilized ResNet-34 for optimization, Python, PyTorch, TensorFlow, and Keras. Developed hybrid loss functions. Demonstrated expertise in computer vision, neural networks, and transformative image processing. Project |