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    <title>DEV Community: Tanishq Saluja</title>
    <description>The latest articles on DEV Community by Tanishq Saluja (@tanishq9).</description>
    <link>https://dev.to/tanishq9</link>
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      <title>DEV Community: Tanishq Saluja</title>
      <link>https://dev.to/tanishq9</link>
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    <item>
      <title>Just Another ToDo Application </title>
      <dc:creator>Tanishq Saluja</dc:creator>
      <pubDate>Tue, 14 Jul 2020 12:22:11 +0000</pubDate>
      <link>https://dev.to/tanishq9/just-another-todo-application-33jd</link>
      <guid>https://dev.to/tanishq9/just-another-todo-application-33jd</guid>
      <description>&lt;p&gt;Hello &lt;b&gt;awesome devs&lt;/b&gt;,&lt;/p&gt;

&lt;p&gt;To &lt;b&gt;master any language&lt;/b&gt; the &lt;b&gt;best way&lt;/b&gt; is to &lt;b&gt;solve programming questions&lt;/b&gt; using it or &lt;b&gt;build a project&lt;/b&gt; using it, in this way &lt;b&gt;we learn on the go&lt;/b&gt; and &lt;b&gt;this is what keeps us going&lt;/b&gt; and &lt;b&gt;never&lt;/b&gt; makes us &lt;b&gt;bored&lt;/b&gt; in our &lt;b&gt;journey&lt;/b&gt; to master a new tool/language/framework.&lt;/p&gt;

&lt;p&gt;I built an &lt;b&gt;Android Application in Kotlin&lt;/b&gt; few months ago, it really helped me to learn a lot about this language especially about the &lt;b&gt;null safety&lt;/b&gt; which is a one of the &lt;b&gt;standout features&lt;/b&gt; of this language.&lt;/p&gt;

&lt;p&gt;In this application, I used :&lt;br&gt;
• &lt;b&gt;SharedPreferences&lt;/b&gt; for Logging in the user&lt;br&gt;
• &lt;b&gt;ViewPager and PagerAdapter&lt;/b&gt; to show On Boarding screens&lt;br&gt;
• &lt;b&gt;Room library&lt;/b&gt; for data persistence&lt;br&gt;
• &lt;b&gt;RecyclerView&lt;/b&gt; for showing the notes made by user&lt;br&gt;
• &lt;b&gt;CoordinatorLayout&lt;/b&gt; in XML and much more&lt;/p&gt;

&lt;p&gt;Here is the &lt;b&gt;repository link&lt;/b&gt; : &lt;a href="https://github.com/tanishq9/Kotlin-ToDo-Application"&gt;ToDo Application&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Please &lt;b&gt;star&lt;/b&gt; ★ the repository incase you find it useful. &lt;/p&gt;

&lt;p&gt;Happy Coding, &lt;b&gt;dev fam&lt;/b&gt; !&lt;/p&gt;

&lt;p&gt;&lt;a href="https://res.cloudinary.com/practicaldev/image/fetch/s--ILbNaXjl--/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_880/https://dev-to-uploads.s3.amazonaws.com/i/cjwsue4ya7mxa74eagoy.png" class="article-body-image-wrapper"&gt;&lt;img src="https://res.cloudinary.com/practicaldev/image/fetch/s--ILbNaXjl--/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_880/https://dev-to-uploads.s3.amazonaws.com/i/cjwsue4ya7mxa74eagoy.png" alt="Project SS"&gt;&lt;/a&gt;&lt;/p&gt;

</description>
      <category>android</category>
      <category>kotlin</category>
      <category>computerscience</category>
      <category>database</category>
    </item>
    <item>
      <title>Machine Learning in Backend</title>
      <dc:creator>Tanishq Saluja</dc:creator>
      <pubDate>Tue, 14 Jul 2020 12:05:17 +0000</pubDate>
      <link>https://dev.to/tanishq9/machine-learning-in-backend-ba9</link>
      <guid>https://dev.to/tanishq9/machine-learning-in-backend-ba9</guid>
      <description>&lt;p&gt;Hello &lt;b&gt;awesome devs&lt;/b&gt;,&lt;/p&gt;

&lt;p&gt;&lt;b&gt;Ever wanted to run cool Machine Learning or Python Scripts in your Web Application's Backend ?&lt;/b&gt;&lt;/p&gt;

&lt;p&gt;I made a &lt;b&gt;web application in Nodejs&lt;/b&gt; in which I &lt;b&gt;classified the digit drawn by the user on the Canvas&lt;/b&gt;, the &lt;b&gt;API&lt;/b&gt; was made using &lt;b&gt;Express&lt;/b&gt; and used &lt;b&gt;python-shell node package&lt;/b&gt; to &lt;b&gt;call&lt;/b&gt; the python script which contained code for using the &lt;b&gt;Deep Learning model&lt;/b&gt; which was built using &lt;b&gt;CNN (Tensorflow)&lt;/b&gt; to classify images.&lt;/p&gt;

&lt;p&gt;It can be &lt;b&gt;really useful&lt;/b&gt; for you if you are trying to &lt;b&gt;implement&lt;/b&gt; something similar.&lt;/p&gt;

&lt;p&gt;Here is the &lt;b&gt;repository link&lt;/b&gt; : &lt;a href="https://github.com/tanishq9/MNIST-NodeJS"&gt;Run ML in JS Backend : Repository Link&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Please &lt;b&gt;star&lt;/b&gt; ★ the repository incase you find it useful. &lt;/p&gt;

&lt;p&gt;Happy Coding, &lt;b&gt;dev fam&lt;/b&gt; !&lt;/p&gt;

&lt;p&gt;&lt;a href="https://res.cloudinary.com/practicaldev/image/fetch/s--hFe72xAT--/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_880/https://dev-to-uploads.s3.amazonaws.com/i/002ne1nt3ay1edioep6o.png" class="article-body-image-wrapper"&gt;&lt;img src="https://res.cloudinary.com/practicaldev/image/fetch/s--hFe72xAT--/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_880/https://dev-to-uploads.s3.amazonaws.com/i/002ne1nt3ay1edioep6o.png" alt="Project Screenshot"&gt;&lt;/a&gt;&lt;/p&gt;

</description>
      <category>python</category>
      <category>webdev</category>
      <category>javascript</category>
      <category>computerscience</category>
    </item>
    <item>
      <title>Data Science Code Samples</title>
      <dc:creator>Tanishq Saluja</dc:creator>
      <pubDate>Tue, 14 Jul 2020 11:44:37 +0000</pubDate>
      <link>https://dev.to/tanishq9/data-science-code-samples-1ol1</link>
      <guid>https://dev.to/tanishq9/data-science-code-samples-1ol1</guid>
      <description>&lt;p&gt;Hello &lt;b&gt;awesome devs&lt;/b&gt;,&lt;/p&gt;

&lt;p&gt;I made a repository for various &lt;b&gt;algorithms &amp;amp; techniques&lt;/b&gt; used in &lt;b&gt;Machine Learning, Deep Learning and NLP&lt;/b&gt; around 2 years ago. I have implemented these from &lt;b&gt;scratch&lt;/b&gt; as well as with the help of &lt;b&gt;python libraries.&lt;/b&gt; It covers topics such as :&lt;/p&gt;

&lt;p&gt;• Linear Regression&lt;br&gt;
• Logistic Regression&lt;br&gt;
• Gradient Descent&lt;br&gt;
• Decision Tree&lt;br&gt;
• Random Forest&lt;br&gt;
• Naive Bayes&lt;br&gt;
• PCA&lt;br&gt;
• SVM&lt;br&gt;
• Neural Networks&lt;br&gt;
• Tensorflow : ANN, CNN and RNN &lt;br&gt;
• Unsupervised Learning using K-Means from scratch&lt;br&gt;
• NLP using NLTK&lt;br&gt;
• Web Scrapping, Python Data Structures, Conda Setup and much more !&lt;/p&gt;

&lt;p&gt;Here is the &lt;b&gt;repository link&lt;/b&gt; : &lt;a href="https://github.com/tanishq9/IPyNotebooks"&gt;All about Data Science : Repository Link&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Please &lt;b&gt;star&lt;/b&gt; ★ the repository incase you find it useful. &lt;/p&gt;

&lt;p&gt;Till date, I have used this repository for these implementations when I want to use &lt;b&gt;ML/DL/NLP as a tool&lt;/b&gt; in any of my ongoing project. &lt;/p&gt;

&lt;p&gt;Happy Coding, &lt;b&gt;dev fam&lt;/b&gt; !&lt;/p&gt;

&lt;p&gt;&lt;a href="https://res.cloudinary.com/practicaldev/image/fetch/s--iD1Aq0cS--/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_880/https://dev-to-uploads.s3.amazonaws.com/i/5w7w9mqbpjja9w624msy.png" class="article-body-image-wrapper"&gt;&lt;img src="https://res.cloudinary.com/practicaldev/image/fetch/s--iD1Aq0cS--/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_880/https://dev-to-uploads.s3.amazonaws.com/i/5w7w9mqbpjja9w624msy.png" alt="Repository Screenshot"&gt;&lt;/a&gt;&lt;/p&gt;

</description>
      <category>python</category>
      <category>machinelearning</category>
      <category>computerscience</category>
      <category>datascience</category>
    </item>
    <item>
      <title>URL SHORTENER APPLICATION</title>
      <dc:creator>Tanishq Saluja</dc:creator>
      <pubDate>Mon, 13 Jul 2020 23:44:45 +0000</pubDate>
      <link>https://dev.to/tanishq9/url-shortener-application-28hd</link>
      <guid>https://dev.to/tanishq9/url-shortener-application-28hd</guid>
      <description>&lt;p&gt;It's been almost 2 years since I made a URL Shortener application. In that, I used &lt;b&gt;Mongodb&lt;/b&gt; and &lt;b&gt;Express&lt;/b&gt; to build an &lt;b&gt;API&lt;/b&gt; for &lt;b&gt;shortening&lt;/b&gt; URLs and &lt;b&gt;redirecting&lt;/b&gt; to the original URL using the shortened URL. I deployed the NoSQL database on &lt;b&gt;mLab&lt;/b&gt; and the Backend on &lt;b&gt;Heroku&lt;/b&gt; and later consumed this API in my Android Application using the &lt;b&gt;OkHttp&lt;/b&gt; Networking library.&lt;/p&gt;

&lt;p&gt;I feel such projects are although pretty common but how much depth and understanding we have about the working of each and every part of our application is what really matters in the end. &lt;/p&gt;

&lt;p&gt;Link to the project :&lt;/p&gt;

&lt;p&gt;1) &lt;a href="https://github.com/tanishq9/URL-Shortener-Android"&gt;Android Application&lt;/a&gt; &lt;br&gt;
2) &lt;a href="https://github.com/tanishq9/URL-Shortener"&gt;Backend&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Do drop a star on the repository incase you like it !&lt;/p&gt;

&lt;p&gt;&lt;a href="https://res.cloudinary.com/practicaldev/image/fetch/s--5asAMLOa--/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_880/https://dev-to-uploads.s3.amazonaws.com/i/emta24kv9tq5dx4ul9jr.png" class="article-body-image-wrapper"&gt;&lt;img src="https://res.cloudinary.com/practicaldev/image/fetch/s--5asAMLOa--/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_880/https://dev-to-uploads.s3.amazonaws.com/i/emta24kv9tq5dx4ul9jr.png" alt="Alt Text"&gt;&lt;/a&gt;&lt;/p&gt;

</description>
      <category>android</category>
      <category>node</category>
      <category>java</category>
      <category>javascript</category>
    </item>
    <item>
      <title>Image Retrieval System</title>
      <dc:creator>Tanishq Saluja</dc:creator>
      <pubDate>Thu, 21 May 2020 18:35:10 +0000</pubDate>
      <link>https://dev.to/tanishq9/image-retrieval-system-56h3</link>
      <guid>https://dev.to/tanishq9/image-retrieval-system-56h3</guid>
      <description>&lt;p&gt;Hello awesome community,&lt;/p&gt;

&lt;p&gt;Recently, I made an API and an Android Application demonstrating how to use Convolutional Autoencoder and Nearest Neighbors Algorithm in Python to get K-Most similar images to a given grayscale image. The Backend was made using Nodejs and Express and Android App is made using Android Studio in Java environment. I find it quite cool, you can check it out here : &lt;a href="https://github.com/tanishq9/Unsupervised-Image-Retrieval-API"&gt;Code and Demo Link&lt;/a&gt;&lt;/p&gt;

</description>
      <category>android</category>
      <category>node</category>
      <category>python</category>
    </item>
    <item>
      <title>Crop Analyzer Application </title>
      <dc:creator>Tanishq Saluja</dc:creator>
      <pubDate>Thu, 21 May 2020 18:26:22 +0000</pubDate>
      <link>https://dev.to/tanishq9/crop-analyzer-application-2m39</link>
      <guid>https://dev.to/tanishq9/crop-analyzer-application-2m39</guid>
      <description>&lt;p&gt;Hello awesome community, &lt;/p&gt;

&lt;p&gt;Recently, I got a chance to mentor people mostly students in open source development. We developed a crop advisory app for farmers and gardeners. It can diagnose plant disease, nutrient deficiencies and suggest treatment measures along with recommended products. I made 70+ issues, reviewed and merged 90+ PRs. I as a mentor learned a lot about evaluating PRs and improved my git knowledge as well. Here's a link to the repositories for which I was the maintainer, you can check them out :&lt;/p&gt;

&lt;ol&gt;
&lt;li&gt;&lt;a href="https://github.com/CropAi/Android-Application"&gt;Crop Analyzer Android Application&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href="https://github.com/CropAi/Backend"&gt;Crop Analyzer API&lt;/a&gt;&lt;/li&gt;
&lt;/ol&gt;

</description>
      <category>android</category>
      <category>javascript</category>
      <category>python</category>
      <category>productivity</category>
    </item>
    <item>
      <title>QnA System</title>
      <dc:creator>Tanishq Saluja</dc:creator>
      <pubDate>Thu, 21 May 2020 17:00:45 +0000</pubDate>
      <link>https://dev.to/tanishq9/qna-system-4ilk</link>
      <guid>https://dev.to/tanishq9/qna-system-4ilk</guid>
      <description>&lt;p&gt;Hello awesome community,&lt;/p&gt;

&lt;p&gt;Wanna find answers in your PDF file ? Upload the questions file and that PDF, we will take it from there.&lt;/p&gt;

&lt;p&gt;In this project, BERT model is used to build a Question-Answering system which answers user’s question using the content and questions file uploaded by them in the Android Application.&lt;/p&gt;

&lt;h5&gt;
  
  
  &lt;a href="https://www.youtube.com/watch?v=VQOaiabFpR0"&gt;Demo Link&lt;/a&gt;
&lt;/h5&gt;

&lt;h5&gt;
  
  
  &lt;a href="https://github.com/tanishq9/QnA-System-Android-Application"&gt;Code Link&lt;/a&gt;
&lt;/h5&gt;

&lt;p&gt;The Android Application is build using Android Studio in Java, for Backend Node.js and Express were used, in combination to that Google's BERT Model which is in python was also used. &lt;/p&gt;

&lt;p&gt;First Post on this platform ! Feels awesome !&lt;/p&gt;

</description>
      <category>android</category>
      <category>node</category>
      <category>python</category>
      <category>productivity</category>
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