{
  "user_id": 12345,
  "similarity": 0.23571285605430603,
  "ats_score": {
    "ats_score": 68.5,
    "detailed_scores": {
      "skills_match": 80.0,
      "experience_relevance": 65.0,
      "education_relevance": 70,
      "overall_formatting": 100
    },
    "feedback": {
      "strengths": ["Strong skills match", "Strong overall formatting"],
      "improvements": []
    },
    "detailed_feedback": {
      "skills_match": {
        "matching_elements": ["Python"],
        "missing_elements": ["Django", "REST APIs"],
        "explanation": "The candidate possesses Python skills, which is a core requirement. However, they lack explicit mention of Django and REST APIs, which are essential for the job. Other skills, while valuable in general software engineering, are not directly relevant to the specified job description focusing on Python, Django, and REST APIs."
      },
      "experience_relevance": {
        "matching_elements": [
          "Developed a speech-to-text summarization system integrating Whisper for transcription and Pegasus for summarization",
          "Conducted in-depth research on advanced NLP models such as PEGASUS, BERTsum and BART"
        ],
        "missing_elements": [
          "Experience with Django framework",
          "Experience with REST APIs",
          "Software engineering experience outside of internship"
        ],
        "explanation": "The work experience demonstrates some relevance to software engineering through the development of a speech-to-text summarization system and research on NLP models. These indicate programming and problem-solving skills, which are valuable in software engineering. The implementation of a neural network from scratch further highlights programming capabilities. However, the experience is limited to an internship, and there's no explicit mention of Python, Django, or REST APIs, which are key requirements for the target job description. The score reflects the partial relevance due to general programming and model development experience, but the lack of specific skills and professional experience lowers the score."
      },
      "education_relevance": {
        "matching_elements": [],
        "missing_elements": [],
        "explanation": "Education assessment completed"
      },
      "overall_formatting": {
        "matching_elements": ["name", "email", "phone"],
        "missing_elements": [],
        "explanation": "Format assessment completed"
      }
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  },
  "structured_data": {
    "name": "Harish KB",
    "email": "harishkb20205@gmail.com",
    "phone": "8248052926",
    "skills": [
      "Python",
      "Java",
      "C/C++",
      "Supervised learning",
      "Unsupervised learning",
      "NLP",
      "LLMs",
      "GitHub",
      "Docker",
      "Linux",
      "AWS",
      "Hugging Face",
      "OpenCV",
      "YOLO",
      "FastAPI",
      "Flask",
      "MongoDB",
      "Firebase"
    ],
    "experience": [
      {
        "title": "AI Research and Development Intern (Remote)",
        "company": "eBramha Techworks Private Limited",
        "start_date": "Jun 2024",
        "end_date": "Oct 2024",
        "description": "- Developed a speech-to-text summarization system integrating Whisper for transcription and Pegasus for summarization, enhancing processing speed and efficiency while significantly reducing overall processing time and improving system performance.\n- Conducted in-depth research on advanced NLP models such as PEGASUS, BERTsum and BART, contributing to the development of effective solutions for tasks like summarization and language understanding.\n- Built a neural network for handwritten digit classification (MNIST) from scratch, implementing core machine learning concepts like gradient descent and one-hot encoding."
      }
    ],
    "education": [
      {
        "institution": "Vellore Institute of Technology (VIT)",
        "location": "Vellore, India",
        "degree": "MTECH (Integrated) in Computer Science and Engineering",
        "graduation_date": "July 2027",
        "start_date": "Aug 2022",
        "cgpa": "8.46"
      }
    ],
    "certifications": [
      "Coursera: Supervised Machine Learning: Regression and Classification",
      "Coursera: Advanced Learning Algorithms",
      "Coursera: Generative AI with Large Language Models"
    ],
    "areas_of_interest": [
      "Machine Learning and AI",
      "Full Stack Development",
      "Cloud Computing and DevOps Practices"
    ],
    "projects": [
      {
        "name": "VerbiSense: Interactive Document Retrieval System",
        "description": "- Built the VerbiSense backend with FastAPI, optimizing document uploads, query processing, and API performance for real-time interactions with the React frontend.\n- Integrated Retrieval-Augmented Generation (RAG) for improved document retrieval and response generation.\n- Applied PyTorch models for advanced NLP tasks like semantic understanding and context-based querying."
      },
      {
        "name": "Speech-to-Text Summarization",
        "description": "- Developed a Python script that improved audio transcription accuracy by 30% and reduced post-processing time by 35%.\n- Designed and implemented the frontend interface to provide a seamless, user-friendly experience for individuals interacting with the speech-to-text summarization system."
      }
    ],
    "languages": ["Python", "Java", "C/C++"],
    "awards_and_achievements": null,
    "volunteer_experience": null,
    "hobbies_and_interests": null,
    "publications": null,
    "conferences_and_presentations": null,
    "patents": null,
    "professional_affiliations": null,
    "portfolio_links": null,
    "summary_or_objective": null
  },
  "markdown_format": "# Harish KB\n\n8248052926  | harishkb20205@gmail.com\n\n## Education\n\nVellore Institute of Technology (VIT), Vellore, India\nMTECH (Integrated) in Computer Science and Engineering (CGPA: 8.46)\nAug 2022 - July 2027\n\n## Experience\n\n**AI Research and Development Intern (Remote)**\neBramha Techworks Private Limited\nJun 2024 - Oct 2024\n\n*   Developed a speech-to-text summarization system integrating Whisper for transcription and Pegasus for summarization, enhancing processing speed and efficiency while significantly reducing overall processing time and improving system performance.\n*   Conducted in-depth research on advanced NLP models such as PEGASUS, BERTsum and BART, contributing to the development of effective solutions for tasks like summarization and language understanding.\n*   Built a neural network for handwritten digit classification (MNIST) from scratch, implementing core machine learning concepts like gradient descent and one-hot encoding.\n\n## Projects\n\n**VerbiSense: Interactive Document Retrieval System**\n\n*   Built the VerbiSense backend with FastAPI, optimizing document uploads, query processing, and API performance for real-time interactions with the React frontend.\n*   Integrated Retrieval-Augmented Generation (RAG) for improved document retrieval and response generation.\n*   Applied PyTorch models for advanced NLP tasks like semantic understanding and context-based querying.\n\n**Speech-to-Text Summarization**\n\n*   Developed a Python script that improved audio transcription accuracy by 30% and reduced post-processing time by 35%.\n*   Designed and implemented the frontend interface to provide a seamless, user-friendly experience for individuals interacting with the speech-to-text summarization system.\n\n## Technical Skills\n\n**Languages:** Python, Java, C/C++\n**Machine Learning:** Supervised learning, unsupervised learning, NLP, LLMs\n**Tools:** GitHub, Docker, Linux, AWS, Hugging Face\n**Computer Vision:** OpenCV, YOLO\n**Backend:** FastAPI, Flask, MongoDB, Firebase\n\n## Areas of Interest\n\n*   Machine Learning and AI\n*   Full Stack Development\n*   Cloud Computing and DevOps Practices\n\n## Certifications\n\n*   Coursera: Supervised Machine Learning: Regression and Classification\n*   Coursera: Advanced Learning Algorithms\n*   Coursera: Generative AI with Large Language Models."
}