<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Projects | Sahil Sangani</title><link>https://sahilsangani.netlify.app/project/</link><atom:link href="https://sahilsangani.netlify.app/project/index.xml" rel="self" type="application/rss+xml"/><description>Projects</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><lastBuildDate>Sun, 01 Oct 2023 00:00:00 +0000</lastBuildDate><image><url>https://sahilsangani.netlify.app/images/icon_hu0b7a4cb9992c9ac0e91bd28ffd38dd00_9727_512x512_fill_lanczos_center_2.png</url><title>Projects</title><link>https://sahilsangani.netlify.app/project/</link></image><item><title>WeatherWise</title><link>https://sahilsangani.netlify.app/project/weatherwise/</link><pubDate>Sun, 01 Oct 2023 00:00:00 +0000</pubDate><guid>https://sahilsangani.netlify.app/project/weatherwise/</guid><description>&lt;p>Introducing a cutting-edge project revolutionizing weather data interaction! Our dynamic API, powered by Flask and PostgreSQL, empowers sensors to seamlessly report, retrieve, and aggregate weather-related metrics from the database. Dive into a world where data meets innovation, offering robust functionalities to report metrics and access meticulously aggregated weather insights.&lt;/p></description></item><item><title>LinkNinja</title><link>https://sahilsangani.netlify.app/project/linkninja/</link><pubDate>Fri, 01 Sep 2023 00:00:00 +0000</pubDate><guid>https://sahilsangani.netlify.app/project/linkninja/</guid><description>&lt;p>Engineered an advanced URL shortener with Golang, Fiber, Docker, and Redis. Tailored for custom short codes, rate limiting, robustly handled domain/IP abuse, &amp;amp; expirations, enhancing user interaction.&lt;/p></description></item><item><title>Uber Data Analytics</title><link>https://sahilsangani.netlify.app/project/uber-data-anlytics/</link><pubDate>Sat, 01 Jul 2023 00:00:00 +0000</pubDate><guid>https://sahilsangani.netlify.app/project/uber-data-anlytics/</guid><description>&lt;p>Harnessing the power of Python, Google Cloud Storage, Mage ETL, BigQuery, and Looker, our project delves into Uber cab data analytics. By extracting, transforming, and loading data with Mage, we employ Google&amp;rsquo;s ecosystem for storage and computation. Our BigQuery-driven data model comprehensively analyzes NYC&amp;rsquo;s TLC trip records, revealing trends in pick-up/drop-off times, locations, distances, fares, payment types, and more. The Looker Studio dashboard visualizes these insights, providing an interactive exploration of the dataset&amp;rsquo;s nuances.&lt;/p></description></item><item><title>Anomaly Detection Time Series Data</title><link>https://sahilsangani.netlify.app/project/anomaly-detection-time-series-data/</link><pubDate>Sun, 01 Nov 2020 00:00:00 +0000</pubDate><guid>https://sahilsangani.netlify.app/project/anomaly-detection-time-series-data/</guid><description>&lt;p>Anomalies detection using keras and tensorflaw in S&amp;amp;P 500 dataset.&lt;/p></description></item><item><title>COVID - 19 Simulator</title><link>https://sahilsangani.netlify.app/project/covid-19-simulator/</link><pubDate>Sun, 01 Mar 2020 00:00:00 +0000</pubDate><guid>https://sahilsangani.netlify.app/project/covid-19-simulator/</guid><description>&lt;p>The spread of COVID-19 simulation is created using MESA library in this project. As a reference, SIR mathematical model for virus spread is used, which is type of compartmental model to represent the growth of agents ( Here, Positive/Negative/Suspected People) based on the differential equations.&lt;/p></description></item><item><title>News Scrapper and Sentiment Analysis</title><link>https://sahilsangani.netlify.app/project/news-scrapper-and-sentiment-analysis/</link><pubDate>Sun, 01 Mar 2020 00:00:00 +0000</pubDate><guid>https://sahilsangani.netlify.app/project/news-scrapper-and-sentiment-analysis/</guid><description>&lt;p>In this project, I have scrapped news from google news using selenium and store the headlines as well as content of the news in a corpus folder. Then, I have done sentiment analysis on it used stopwords for learning purpose.&lt;/p></description></item><item><title>Dice Game</title><link>https://sahilsangani.netlify.app/project/dice-game/</link><pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate><guid>https://sahilsangani.netlify.app/project/dice-game/</guid><description>&lt;p>A small multiple client server dice game to demonstrate workings of socket programming in C.&lt;/p></description></item><item><title>IPL Winner Prediction</title><link>https://sahilsangani.netlify.app/project/ipl-winner-prediction/</link><pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate><guid>https://sahilsangani.netlify.app/project/ipl-winner-prediction/</guid><description>&lt;p>Data Analysis for IPL matches from 2008 - 2019 and predicting winner using SVM classifier.&lt;/p></description></item><item><title>Cataract Detection</title><link>https://sahilsangani.netlify.app/project/cataract-detection/</link><pubDate>Sun, 01 Sep 2019 00:00:00 +0000</pubDate><guid>https://sahilsangani.netlify.app/project/cataract-detection/</guid><description>&lt;p>Cataract is the most widespread causes of blindness. Early detection or precautions could reduce the suffering from cataract to the patients and mitigate the visual disability from turning into total blindness. But the cost may cause difficulties to everybody’s early interventions, because the expertise trained eye specialists cannot be afforded by everyone. Based on the data provided on Kaggle.com, we are trying to build a model that predict whether the patient is suffering from cataract or not.&lt;/p></description></item><item><title>UWinEmotions</title><link>https://sahilsangani.netlify.app/project/uwinemotions/</link><pubDate>Sun, 01 Sep 2019 00:00:00 +0000</pubDate><guid>https://sahilsangani.netlify.app/project/uwinemotions/</guid><description>&lt;p>Developed a website for the audience of the University of Windsor, using Flask framework and Firebase as as data storage. User can submit their emotion at specific time and as specific location. Moreover, they can visualise the emotions on the map.&lt;/p></description></item><item><title>Web Search Engine</title><link>https://sahilsangani.netlify.app/project/web-search-engine/</link><pubDate>Thu, 01 Aug 2019 00:00:00 +0000</pubDate><guid>https://sahilsangani.netlify.app/project/web-search-engine/</guid><description>&lt;p>The Web Search Engine is developed using various concepts such as HTML to Text string tokenizer, Edit Distance, Modified Boyer Moore with Quick Sort, HashSet, and Regex.&lt;/p></description></item><item><title>Cheque Clearance System</title><link>https://sahilsangani.netlify.app/project/example/</link><pubDate>Sat, 01 Dec 2018 00:00:00 +0000</pubDate><guid>https://sahilsangani.netlify.app/project/example/</guid><description>&lt;p>The extensive use of cheques in daily life make the advancement of the conventional cheque clearing method. &amp;ldquo;Cheque Clearing System&amp;rdquo; is a portal which renders smooth, effective and convenient clearing of cheques. It enables to deal with different banks transaction. Receiver cashier can upload the scanned copy of cheque issued by another bank or same bank further clearance done by the admins with the verification of the sender bank. This system is developed using Python Flask Framework, HTML, CSS, Bootstarp, Google Vision API, MySQL, and Machine Learning algorithm SVM.&lt;/p></description></item><item><title>COVID-19 Dashboard</title><link>https://sahilsangani.netlify.app/project/covid-19-dashboard/</link><pubDate>Sat, 01 Dec 2018 00:00:00 +0000</pubDate><guid>https://sahilsangani.netlify.app/project/covid-19-dashboard/</guid><description>&lt;p>COVID-19 dashboard provides information on COVID-19 cases status worldwide. It describes the daily number of cases, the top 10 countries by deaths and confirmed cases, and mortality rate. I have also included a heat map on the world to illustrates the most affected country by COVID-19.&lt;/p></description></item></channel></rss>