Final Readme updated

README.md

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 <h1 align="center">Vital Extraction Challenge</h1>
 
 <h2>Abstract</h2>
-<p>This Repository Contains our **Silver medal solution** to address the problem statement proposed by Cloudphysician in **InterIIT Techmeet11.0**. Cloudphysician is a company that focuses on AI integration in the Healthcare system. In hospital the monitor shows vital informations about the patient. To integrate AI with the system we need to get the informations about the vitals from the monitor. In our approach we have processed the monitor images to extract the vital informations. We have used semi-supervised segmentation technique for extracting the monitor from complete image and then transformed the extracted monitor in birds-eye perspective. Finally we used <b>YOLOv5-nano</b> for vital extractions from monitor and Paddle-OCR as an open-source character recognition tool. For increasing the vital extraction accuracy, we used some monitor layout knowledge for post-processing the predicted results. <b>Our complete pipeline takes about 0.6-1.0 second for inference on CPU.</b>
+<p>This Repository Contains our <b>Silver medal solution</b> to address the problem statement proposed by Cloudphysician in <b>InterIIT Techmeet 11.0</b>. Cloudphysician is a company that focuses on AI integration in the Healthcare system. In hospital the monitor shows vital informations about the patient. To integrate AI with the system we need to get the informations about the vitals from the monitor. In our approach we have processed the monitor images to extract the vital informations. We have used semi-supervised segmentation technique for extracting the monitor from complete image and then transformed the extracted monitor in birds-eye perspective. Finally we used <b>YOLOv5-nano</b> for vital extractions from monitor and Paddle-OCR as an open-source character recognition tool. For increasing the vital extraction accuracy, we used some monitor layout knowledge for post-processing the predicted results. <b>Our complete pipeline takes about 0.6-1.0 second for inference on CPU.</b>
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