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    "name": "Riky Shah",
    "label": "Software Engineer",
    "summary": "Enthusiastic final-year Computer Engineering (AI) student with hands-on experience in Python, Machine Learning, Deep Learning, and Computer Vision. Passionate about developing AI-driven solutions and continuously expanding technical expertise. Seeking an internship or entry-level position to contribute to real-world AI and software development projects.",
    "location": "Vadodara"
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  "education": [
    {
      "institution": "ITM (SLS) BARODA UNIVERSITY",
      "degree": "B.TECH CSE",
      "field": "Artificial Intelligence",
      "startDate": "2024",
      "current": true,
      "score": "7.81",
      "highlights": [
        "Workshops and Seminars attended: Tkinter, ASP.Net, Java Script Framework, Generative AI using LLM"
      ]
    }
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    "python",
    "Java",
    "Machine Learning",
    "Artificial Intelligence",
    "Data Analytics",
    "Team Work",
    "Project management",
    "Problem solving"
  ],
  "languages": [
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      "language": "English",
      "fluency": "Intermediate"
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      "language": "Hindi",
      "fluency": "Fluent"
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      "language": "Gujarati",
      "fluency": "Native"
    }
  ],
  "projects": [
    {
      "name": "Age & Gender detection",
      "description": "an AI-powered software that analyzes passersby’s faces in real time to predict age and gender and then displays targeted advertisements. Another example is AgeBot, an Android application that estimates age and gender from photos using facial recognition.\n\nMotivated by these real-world examples, I developed a simplified version of an age and gender detection system. In this project, we detect faces from webcam/video feed and apply Convolutional Neural Networks (CNNs) to estimate age and gender.",
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        "OpenCV",
        "CNN",
        "TensorFlow",
        "PyTorch"
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    "yearsOfExperience": 0,
    "seniority": "entry",
    "highestEducation": "Bachelor's"
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