raghavgali Goto Github PK

car-parking-slot-identification-using-ssd-resnet

Simplify parking management with my Car Parking Slot Identification project. Using SSD ResNet via TensorFlow Object Detection API, it efficiently detects and labels parking slots, making it an ideal beginner project for understanding computer vision in real-world applications.

cifar-100-image-classification-models

customer-segmentation-analysis-in-the-insurance-industry

explainable-recommendation-system-using-transformers

fine-tuning-bart-model-on-samsum-dataset

This repository contains a fine-tuned BART model on the SAMSum dataset, designed for the task of abstractive dialogue summarization. The model has been trained for one epoch and demonstrates the ability to generate concise and coherent summaries of dialogues.

global-terrorism-analysis

"Explore global terrorism trends with this Tableau project using data from the GTD database (1970-2017). Visualizations reveal patterns, hotspots, and insights. Uncover the dynamics of incidents worldwide. #Tableau #DataAnalysis #GTD #TerrorismAnalysis"

house-price-prediction-using-apache-spark

license-plate-recognition-using-opencv-and-tesseract-ocr

Explore my GitHub for License Plate Recognition using OpenCV and Tesseract OCR. This project combines computer vision and OCR for accurate plate information extraction, ideal for security and traffic applications. A reliable open-source solution at your fingertips

payroll-management-system

This repository houses the code for a streamlined Payroll Management System, featuring an intuitive interface, automated salary calculations, and robust database management. Contribute to enhance your organization's payroll processes efficiently.

restaurant-recommendation-system-

toxic_comment_classification

Toxic Comment Classification employs Naive Bayes, Logistic Regression, KNN, and Decision Trees to identify harmful content in tweets. The project features a user-friendly web interface using FastAPI and Streamlit, enhancing accessibility for users to assess and manage toxic comments efficiently.