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  A IR B NB L ISTING P RICE P REDICTION FOR S EATTLE C ITY The search for an ideal accommodation on travelling has been a real issue in recent years. AirBnB has revolutionised the way people think of finding places to stay. It has allowed people to open up their homes to visitors and stay at far more interesting places than the same old drab hotels. We using Data analytic tools and Data visualizations techniques have tried to provide eventful insights into data set. And general findings from data sets have been used by machine learning process to generate a prediction on price. Introduction The Open Source Seattle AirBnB Csv file is being added to the project as an input file. This contains three Csv files namely i)Listings ii) Calendar iii) Reviews . Our system will first process the data set employing data cleaning tools of python on it.Then employing the Data analysis ,visualization techniques we would try to analyze the features affecting the price of the listings .This project...

Modified Problem Statement In lieu of ongoing Covid 19 To identify distance between persons in pre-recorded video and warn when distance is less than a minimum safe distance following social distancing norms. To identify distance between persons in real time video and warn when distance is less than a minimum safe distance following social distance The progressing Covid 19 pandemic made an enormous circumstance for huge businesses to manage to attempt to keep up safe separation between representatives to guarantee well being and ensure the work is proceeded with unhindered .This project and it’s modification is an attempt to solve and assist the companies towards safe and better functioning ensuring none of the employee is affected as a result of covid 19 pandemic while working by ensuring that they follow social distancing by monitoring over them through video in workplace.Video Analysis is a domain of understanding and working on video to determine and use various spatial and tempora...