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Devaki Sananda

BTech AI & Machine Learning student · Aspiring AIML Research Intern

Kakinada, Andhra Pradesh, India

@devaki_san

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🎓 BTech in Artificial Intelligence and Machine Learning at Acharya Nagarjuna University · Graduated 2024

About

Second-year undergraduate student pursuing BTech in Artificial Intelligence and Machine Learning at Acharya Nagarjuna University. Interested in AIML research and applying machine learning to real-world problems under faculty mentorship.

Experience

  • Research Intern
    IIITDM Kurnool
    May 2026 – —

    Developed a computer-vision system to detect potentially struggling individuals in crowded environments using YOLOv8 Nano and MediaPipe pose. Designed a posture-based detection method using neck/spine alignment and forward-lean measurements to identify abnormal postures. Implemented IoU-based tracking and temporal grace periods to improve detection stability and reduce false positives. Explored real-time deployment using IP camera input and edge-computing platforms such as Raspberry Pi.

Education

  • Intermediate
    2021 – 2023
  • Secondary Education
    MPL High School
    2020 – 2021
  • BTech
    Artificial Intelligence and Machine Learning · 2024

Skills

3 to 6 months 3 to 6 months A few months of practice with it.
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.

Tools / apps / platforms

3 to 6 months 3 to 6 months A few months of practice with it.
Raspberry Pi
<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git GitHub VS Code Jupyter Notebook Microsoft PowerPoint

Projects

  • Quantum Random Number Generator (QRNG)
    Python, Qiskit, Qiskit-Aer

    Developed a prototype using superposition and measurements in quantum circuits, incorporating noise to obtain realistic quantum random numbers.

  • Budget Tracker App
    Python, Flutter

    Developed a cross-platform mobile application to track personal income, expenses and savings in real-time. Features include spending analysis and budget summaries.

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