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Urooj Khan's Projects

-hotel-image-classification-model-by-vertex-ai icon -hotel-image-classification-model-by-vertex-ai

.The integrated solutions comprise a Vertex AI image classification model for hotel images. The goal of this project is to streamline two critical tasks in the hospitality industry: classifying hotel photos based on trip types.

airbnb-tableau-dashboard icon airbnb-tableau-dashboard

The Airbnb Dashboard is a visual analytics tool developed using Tableau that provides insights into Airbnb listings in regions such as Manhattan, Brooklyn, and more. The dashboard aims to offer users a comprehensive overview of Airbnb rental trends, including geographical distribution, time series analysis, and key metrics.

genai-powered-networking-best-practice icon genai-powered-networking-best-practice

The AI Powered Networking Best Practice is Document Analysis Application is a web-based tool built using Streamlit and powered by the Gemini API and FAISS. This application allows users to upload one or multiple PDF documents and obtain responses to questions asked based on the content of the documents. The primary use case for the

invoice-processor-by-doc-ai icon invoice-processor-by-doc-ai

Company Project: Invoice Processor The Invoice Processor is a Python script developed as part of a company project to streamline invoice handling tasks. Leveraging Doc AI, this tool automates the extraction of billing details from receipts, aiming to minimize manual effort and mitigate human error in data entry processes.

pdf-summarization-app icon pdf-summarization-app

PDF Summarization provides boost efficiency with Artificial Intelligence by quickly turning lengthy documentations of pdfs into concise summaries by leveraging OpenAI, Langchain and Streamlit. Freeing up time what truly matters efficiently

speech-to-text-application-for-healthcare icon speech-to-text-application-for-healthcare

The Speech-to-Text Application for Healthcare Record Extraction is a transformative tool designed to streamline the process of extracting vital information from audio recordings in the healthcare domain. Leveraging Azure services for speech recognition and OpenAI for entity extraction aims to enhance efficiency in healthcare record management.

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