text: // TODO Add a couple lines about each project
  const data = [
    {
      title: 'SITESEEING',
      subtitle: 'Using Machine Learning to Label Segmented Webpages',
      link: 'https://drive.google.com/file/d/1P7XnAETcq5-8eCKKoJNnez4eOuk8xBzY/view?usp=sharing',
      image: '/images/projects/SiteSeeing.PNG',
      date: '2020-04-22',
      desc:
        'Incorporated Machine Learning into my supervisors earlier work. '
        + 'Improved performance from 20% to 40% using a CNN '
        + 'and then improved it from 40% to 60% using a novel approach I proposed '
        + 'involving feature extraction.',
    },
    {
      title: 'Language Translation',
      subtitle: 'Using Deep Learning to Translate an Ancient Language into English',
      link: '',
      image: '/images/projects/automl-trans1.png',
      date: '2020-04-01',
      desc:
        'Formatted Hundreds of Thousands of Ancient Text to translate into English. '
        + 'Used Amazon\'s Sockeye to build a translation model. '
        + 'Ultimately, the data set was too small to produce meaningful results '
        + 'but leaves open the possibility of future work.',
    },
    {
      title: 'Travel Planner',
      subtitle: 'A functional travel planner built with Jave Spring',
      link: 'https://github.com/ShekharDewan/TravelPlanner',
      image: '/images/projects/tripPage.png',
      date: '2019-04-06',
      desc:
        'Developed a functional travel planner according to client specifications '
        + 'for our software design class. Client named our planner the one they '
        + 'were most likely to use.',
    },
    {
      title: 'GreenMap',
      subtitle: 'An app to help people make more eco friendly purchases',
      link: 'https://github.com/reisman-internship-2019-greenmap',
      image: '/images/projects/TreeSplash1X.png',
      date: '2019-09-08',
      desc:
        'Built an App that used Enviornmental Data to help people make upto 80% more eco-friendly purchases. '
        + 'Works by selecting the most eco friendly company within a product category (based on data availability). '
        + 'Used the MERN (Mongo Express React and Node) Stack as well as Wikipedias GraphQL database.',
    },
  ];
  
  export default data;
  