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Profile

I'm a driven 4th-year B.Tech (CSE) student with strong Python skills and a passion for AI, ML, and Data Science. With hands-on IoT experience and strong analytical abilities, I'm eager to take on challenging roles that make a meaningful impact in the tech industry.

Skills
Programming Languages

C, C++, Python, SQL

Technologies

ML, DL, Streamlit, IoT, Django

Projects
AI-Powered Smart Farming System with IoT Sensors
  • •Automated irrigation using real-time data and AI, optimizing water usage.
  • •Created an 80% accurate plant disease detection model with remote resource management.
    • Violence Detection System
  • •Developed an AI-driven Fight Detection System using MobileNetV2, achieving 92% accuracy in real-time violence detection from video footage.
  • •Created a Streamlit web application to process videos for violence detection, allowing users to upload videos and download the processed results.
    • Disease Prediction System
  • •Developed and deployed a Streamlit-based web application for predicting five diseases (breast cancer, diabetes, heart disease, lung cancer, and Parkinson's) using machine learning models.
  • •Successfully launched the platform on Streamlit Cloud for global accessibility and user-friendly interaction.
    • Education
    Bachelor of Technology (Honours), Poornima Institute of Engineering & Technology
    Oct 2021 – Jun 2025 | Jaipur, India | CGPA-8.47
    12th Grade, St. Anselm's Sr. Sec. School | 83.8%
    2021 | Jaipur, India
    10th Grade, St. Anselm's Sr. Sec. School | 87%
    2019 | Jaipur, India
    Certificates
    Internship
    Infosys SpringBoard
    Mar 2024 – Jun 2024 | Remote
  • •Developed and implemented an Online Insurance Management System utilizing Django, HTML, CSS, and JavaScript, optimizing insurance operations and user interactions.
    • Centre For Development Of Telematics (CDOT), Telecom Technology Center of Govt. of India
    Jul 2024 – Aug 2024 | Delhi
  • •Developed a Violence Detection System using Streamlit, OpenCV, and Keras with a CNN model, enabling users to analyze video content for violent scenes through uploaded video files.