example_output.json

{
    "Contact Information": {
      "Phone": "+91 9557469354",
      "Email": "kushagra.sharma_cs.aiml21@gla.ac.in",
      "LinkedIn": "linkedin.com/in/kush",
      "GitHub": "Not Provided"
    },
    "Professional Experience": [
      "Medical Image Diagnosis App  | Python , Keras , OpenCV , Streamlit , MongoDB",
      "- Deployed a Streamlit web application with user registration and login functionalities. The application efficiently detects mo re than",
      "2 types of diseases with over 90% accuracy, significantly improving health monitoring.",
      "- Utilized a Keras model capable of accurately classifying brain diseases into 4 distinct types, thereby enhancing the",
      "application's diagnostic capabilities for neurological conditions.",
      "Medical Remedy App  | Python , Streamlit , Autogen, GroqAI",
      "- Deployed a Streamlit web application with user registration and login functionalities. The application efficiently detects mo re than",
      "2 types of diseases with over 90% accuracy, significantly improving health monitoring.",
      "- Developed custom agents using the Autogen framework; integrated a high -performance LLM (llama3 -8b-8192) that processes",
      "over 200 user queries per minute, enhancing the accuracy and relevance of the recommendations."
    ],
    "Projects": [
      "Patent RAG QA App  | Python , Lanchain , Qdrant, AWS , Docker",
      "- Developed a Qdrant -based vector database, that forms sentence embeddings from over 1000 chunks. This innovative approach",
      "enables highly nuanced and contextually rich representations, enhancing accuracy.",
      "- Engineered a cutting -edge web interface with Fast API , enabling seamless query input and real -time response retrieval; enhanced"
    ],
    "Skills": [
      "Technical",
      "Python",
      "NumPy, Pandas, Fast API",
      "Machine Learning, NLP",
      "Django, Langchain, Keras",
      "AWS, Azure , Docker  Professional",
      "Adaptability",
      "Competent",
      "Spearheade d"
    ],
    "Education": [
      "B.Tech  in Computer Science  (AI & ML) , GLA University, Mathura - CGPA: 8. 6                                                            Expected 2025",
      "Intermediate, St. Mary's Convent School (ICSE) - 84.4%   2019 -2021",
      "High School, St. Mary's Convent School (ICSE) - 83.3%   2017 -2019",
      "INTERNSHIP/CERTIFICATES",
      "AI and Backend Intern , StoryVord , London                                                                                                                  May 2024 - Present",
      "- Developed multiple AI bots that performs various works for gathering and forming required details for a Film Production.",
      "- Integrated Backend using Django and formed logics for endpoints , deployed on  Azure Cloud using App Service.",
      "Job Oriented Value -Added Course, GLA University, Mathura                                                                               June 2023 - Aug 2023",
      "- Learned basics of Amazon Web Services, Docker and Cloud Computing."
    ],
    "Achievements": [
      "- SIH 2023:  Proposed and developed a Human Detection System, showcasing innovative problem -solving at the national -level",
      "Smart India Hackathon 2023."
    ],
    "Extra-Curricular Activities": []
  }