AV

Anurag Verma

B.Tech CSE-AIML student · Aspiring Software Developer

Bhopal, Madhya Pradesh, India

@anurag_verma

0 followers

🎓 B.Tech in CSE-AIML at Lakshmi Narain College of Technology (RGPV) · Graduating 2027

About

Aspiring software developer with a strong foundation in software development, object-oriented programming, web technologies, and database management. Proficient in Java, JavaScript, React.js, and SQL through academic and personal projects, with strong problem-solving abilities and a focus on building efficient, scalable, user-centric applications.

Education

  • Bachelor of Technology
    Awarded by RGPV
    Artificial Intelligence and Machine Learning · 2024 – 2027
  • Senior Secondary Education
    The Iconic School
    2022 – 2023
  • Secondary Education
    Sanskar International School
    2020 – 2021

Skills

Tools / apps / platforms

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git MySQL GitHub MongoDB Visual Studio Code

Projects

  • Footstep Power Generation Model
    Piezoelectric Sensors, Hardware Design, Rechargeable Batteries

    Designed and developed a prototype that generates electricity from human footsteps using piezoelectric sensors. Stored generated energy in rechargeable batteries to power small electronic devices. Demonstrated an innovative approach to renewable energy harvesting.

  • Footstep Power Generation Model
    Piezoelectric Sensors, Hardware Design, Rechargeable Batteries

    Designed and developed a prototype that generates electricity from human footsteps using piezoelectric sensors. Stored generated energy in rechargeable batteries to power small electronic devices. Demonstrated an innovative approach to renewable energy harvesting.

  • Trading View – Stock Trading Platform
    React.js, Node.js, Express.js, MongoDB

    Developed a full-stack stock trading platform using the MERN stack. Implemented secure JWT-based user authentication and authorization. Built RESTful APIs for user management and stock transactions. Designed a responsive dashboard for tracking stock market activities.

  • Fake News Detection System
    Python, Flask, HTML, CSS, JavaScript, Scikit-Learn

    Developed a machine learning-based web application to detect fake news using Natural Language Processing. Achieved over 90% prediction accuracy using classification algorithms. Designed a responsive user interface and integrated the machine learning model for real-time predictions.

Courses & certifications

  • Oracle Cloud Infrastructure 2025 Generative AI Professional certification · Oracle · 2025
  • Oracle Cloud Infrastructure 2025 Generative AI Professional certification · Oracle · 2025

🏆 Achievements & awards

  • Finalist at Young Indians IDS 4.0 Hackathon · 2025

    Finalist for the Footstep Power Generation Model.

  • Published an IEEE Research Paper on Fake News Detection using Machine Learning and Natural Language Processing

🎯 Hobbies & interests

  • Learning New Technologies
  • Hackathons
  • Coding Challenges

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