projects.json

[
    {
        "id": "1",
        "title": "Meet Ruby Cruit Recruitment Assistant",
        "description": [
            "Ruby Cruit is a highly customized GPT-based recruitment assistant designed to aid in highlighting candidate qualifications in an engaging manner.",
            "The AI assistant, named Ruby, is equipped with features to showcase the candidate's skills, providing a mix of professionalism with a sprinkle of charm and wit.",
            "Ruby is programmed to present information in a light yet informative tone, utilizing self-deprecating humor and sarcasm to keep the narrative engaging.",
            "The assistant also supports detailed candidate profiles, including professional backgrounds, key skills, and personal interests, making it a valuable tool for recruiters and job seekers alike."
        ],
        "skills": ["Natural Language Processing", "Python", "AI Model Training"],
        "tasks": ["data-analysis", "custom-AI-development", "candidate-screening", "profile-enhancement"],
        "link": "recruitment-assistant.html",
        "image": "images/ruby-cruit-header.png"
    },
    {
        "id": "2",
        "title": "Object Detection with YOLO",
        "description": [
            "This project focuses on utilizing the YOLO (You Only Look Once) algorithm for robust and efficient object detection. YOLO is a cutting-edge, real-time object detection system renowned for its speed and accuracy, which significantly outperforms other detection systems.",
            "The project demonstrates the application of YOLO in identifying and classifying objects within images in milliseconds, making it ideal for applications requiring real-time processing such as surveillance, automotive navigation, and real-time threat detection.",
            "It also explores enhancements to the YOLO architecture to improve detection accuracy and reduce false positives."
        ],
        "skills": ["Python", "OpenCV", "YOLO"],
        "tasks": ["object-detection", "image-segmentation", "real-time-processing", "computer-vision"],
        "link": "object-detection.html",
        "image": "images/object-detection-header.png"
    },
    {
        "id": "3",
        "title": "Job Interview Preparation",
        "description": [
            "This comprehensive resource aids candidates in preparing for job interviews in the fields of Artificial Intelligence, Deep Learning, and Machine Learning.",
            "The project assembles an extensive set of common and challenging questions that explore fundamental and advanced topics within these disciplines.",
            "Designed to boost confidence and ensure thorough preparation, this project not only lists potential interview questions but also provides detailed answers and explanations, helping users grasp complex concepts and articulate their understanding effectively.",
            "The material is curated from a variety of credible sources and includes insights from industry experts, making it a valuable tool for anyone looking to excel in tech interviews."
        ],
        "skills": ["Artificial Intelligence", "Deep Learning", "Machine Learning"],
        "tasks": ["question-answers", "interview-preparation", "fundamentals", "AI", "DL", "ML"],
        "link": "interview-questions.html",
        "image": "images/interview-questions-header.png"
    }
]