NS

Nori Sravani

B.Tech ECE Student · Embedded Systems & IoT

Guntur, Andhra Pradesh, India

@sravani_nori_27

0 followers

🎓 B.Tech in Electronics and Communication Engineering (Embedded Systems & IoT) at SRM University AP · Graduating 2027

About

Final-year B.Tech Electronics and Communication Engineering student specializing in Embedded Systems and IoT. Has hands-on experience in embedded programming, RTL design, FPGA development, and microcontroller-based systems using Verilog HDL, Embedded C, Xilinx Vivado, and MATLAB.

Experience

  • VLSI Design Intern
    Li Mat Soft Solutions · Hyderabad
    Jun 2025 – Jul 2025

    Designed and implemented a RISC-V processor using Verilog HDL. Designed a 32-bit single-cycle MIPS processor. Worked on AHB and APB bus protocol design and developed a UART communication protocol in Verilog. Gained practical exposure to RTL design, digital architecture and hardware description languages.

Education

  • B.Tech
    Electronics and Communication Engineering (Embedded Systems & IoT) · 2023 – 2027
  • Intermediate Education
    2023
  • Secondary Education
    KLP Public School
    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 VS Code Arduino UNO Raspberry Pi The MathWorks MATLAB

Projects

  • AI-Based Climate Adaptive Crop Variety Recommendation
    Machine learning

    Built a machine learning system that recommends crop varieties from climate and environmental parameters.

  • Smart Blind Stick for Visually Impaired Assistance
    Arduino UNO, ultrasonic sensors, water sensors

    Developed an assistive device using Arduino UNO, ultrasonic and water sensors, with audio and vibration alerts.

  • Smart Traffic Control System for Single-Lane Bridges
    Arduino, ultrasonic sensors, Embedded C

    Built an automated traffic system with Arduino and ultrasonic sensors, implementing vehicle detection and signal control in Embedded C.

  • Bridge Predictive Maintenance System Using Accelerometer Data
    XGBoost

    Developed a structural monitoring system using accelerometer data and XGBoost for vibration-based anomaly detection, achieving 97% accuracy and 0.98 ROC-AUC.

  • Self-Balancing Bipedal Humanoid Robot
    ESP32, MPU6050 IMU, servo motors, PID control

    Built a self-balancing robot using ESP32 and MPU6050 IMU, with servo motors for movement and PID control for stability.

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