Sri Mathi
SriMathi-2705
Python Developer | AI/ML Developer
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The project focuses on extracting and structuring key details from resumes, such as names, contact information, education, and work experience, into a user-friendly interface for efficient review and management.
The project focuses on extracting and structuring key details from resumes such as names, contact information, education, and work experience, into a user-friendly interface for efficient review and management. Additionally, It supports bulk upload of resumes.
Payroll Management project automates payroll calculation and report generation by reading employee data from an Excel file, calculating monthly pay in INR, and generating both Word and PDF summaries. The script also automates the opening, review, and saving of these documents.
Object Detection project leverages the YOLOv3 model with OpenCV to detect and label objects in images, applying non-maximum suppression for accurate results. It involves loading the model, preprocessing input images, and visualizing detected objects with bounding boxes and labels.
The project leverages MediaPipe for hand tracking to create a virtual mouse interface, enabling precise cursor control and clicking through intuitive hand gestures. It translates real-time hand movements into mouse actions using a webcam, offering a hands-free interaction experience.
Repositories
8The project focuses on extracting and structuring key details from resumes, such as names, contact information, education, and work experience, into a user-friendly interface for efficient review and management.
The project focuses on extracting and structuring key details from resumes such as names, contact information, education, and work experience, into a user-friendly interface for efficient review and management. Additionally, It supports bulk upload of resumes.
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No description provided.
Payroll Management project automates payroll calculation and report generation by reading employee data from an Excel file, calculating monthly pay in INR, and generating both Word and PDF summaries. The script also automates the opening, review, and saving of these documents.
Object Detection project leverages the YOLOv3 model with OpenCV to detect and label objects in images, applying non-maximum suppression for accurate results. It involves loading the model, preprocessing input images, and visualizing detected objects with bounding boxes and labels.
The project leverages MediaPipe for hand tracking to create a virtual mouse interface, enabling precise cursor control and clicking through intuitive hand gestures. It translates real-time hand movements into mouse actions using a webcam, offering a hands-free interaction experience.
Product Sales Analysis with Cognos: Using IBM Cognos Analytics for data-driven insights, reporting, and performance optimization in sales.