hari166.github.io/project.html at master · hari166/hari166.github.io · GitHub

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<!DOCTYPE html>
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  <head>
    <title>Projects</title>
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  <br><br><br>

  <h3 style="margin-left: 20px;">SatTRACE- 2023</h3>
    <p style="margin-left: 20px;"><strong>Tech stack:</strong> Golang, Postgres</p>
      <ul>
          <li>CLI tool for satellite tracking in Go.</li>
          <li>Query data by ID or name.</li>
          <li>Sourced with real-time data from N2YO.</li>
          <li>Useful for reconnaissance, TLE parsing, and amateur astronomy.</li>
          <li>Github: <a href="https://github.com/hari166/SatTRACE" target="blank">SatTRACE</a></li>
      </ul>

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  <h3 style="margin-left: 20px;">EasyWeather- 2023</h3>
    <p style="margin-left: 20px;"><strong>Tech stack:</strong> Golang, Gin, OpenWeather API, JS</p>
      <ul>
          <li>Developed a weather web application using Golang.</li>
          <li>Integrated APIs to fetch real-time weather data from an open source.</li>
          <li>Obtain accurate forecasts via an HTML/CSS frontend, in a user-friendly interface.</li>
          <li>Github: <a href="https://github.com/hari166/EasyWeather" target="blank">EasyWeather</a></li>
      </ul>

  <br><br>

  <h3 style="margin-left: 20px;">Intergo- 2023</h3>
    <p style="margin-left: 20px;"><strong>Tech stack:</strong> Golang</p>
      <ul>
          <li>A primitive interpreter written in Go, to learn about the intricacies of a language, and underlying mechanisms of code execution.</li>
          <li>Tokenized and parsed via REPL.</li>
          <li>Github: <a href="https://github.com/hari166/intergo" target="blank">intergo</a></li>
      </ul>

  <br><br>

  <h3 style="margin-left: 20px;">Airline Customer Satisfaction- 2022</h3>
    <p style="margin-left: 20px;"><strong>Tech stack:</strong> Python, NumPy, Pandas</p>
      <ul>
          <li>Developed a machine learning program that utilizes customer data.</li>
          <li>Predict whether a future customer will prefer a particular airline for future flying.</li>
          <li>Implemented machine learning algorithms to train the model using an extensive dataset.</li>
          <li>Github: <a href="https://github.com/hari166/Airline-Customer-Satisfaction" target="blank">Airline Customer Satisfaction</a></li>
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