Sahithi Karna

Motivated Electrical and Electronics student with a strong foundation in C and Python, complemented by proven leadership skills. Fluent in Telugu, English, Hindi, and Kannada, enabling effective communication across diverse teams. Eager to leverage technical knowledge and strong communication abilities in a challenging environment to drive impactful contributions. Committed to continuous learning and professional growth within the field.

Python & Machine Learning - INTERNSHIP

Programming Languages: C, Python

Hardware Design: VLSI (Verilog)

Tools for C:

IDE's: DevC++, Visual Studio

Tools for Python:

IDE's: Pycharm, VS Code, Jupyter Notebook

Libraries: NumPy, Pandas, Matplotlib, TensorFlow, Scikit-Learn

Tools: PIP Package Manager, JupyterLab

Tools for VLSI: Xilinx

Crop and Fertilizer Recommendation

Description: This Project uses data, python and machine learning to suggest the most suitable crop for particular soil and climatic conditions and recommends the correct fertilizer based on soil nutrient deficiencies increasing yield while reducing cost and environmental impact.

Tech Stacks:

Programming: Python

Machine Learning: Random Forest, Decision Tree

Data Processing: Pandas, NumPy

Tools Used:

Jupyter Notebook, VS Code, Scikit-learn, Matplotlib & Seaborn (for visualization), GitHub

Roles and Responsibilities: Led a Team, assigned tasks to team members, ensured smooth collaboration, and monitored project progress.

Collected and preprocessed agricultural datasets, ensuring data quality and consistency

An Embedded System for Real-Time IV  Monitoring and Automated Control

Description: This project is a smart healthcare solution designed to continuously monitor the level of intravenous (IV) fluid and automatically manage its flowing using sensors and a microcontroller, the system detects the fluid level in real-time and triggers alerts or stops the flow when the fluid is about to run out

Tech Stacks: 

Embedded C Arduino Programming
Microcontroller: Arduino UNO
Sensors:
Heartbeat Sensor
Temperature Sensor (LM35)
Ultrasonic Sensor (for distance/level measurement)
IoT Communication: ESP8266 Wi-Fi Module
Display Modules: LCD
Alert Systems: Buzzer
Electronics: Power supply modules, resistors, jumper wiring

Tools Used:

Arduino IDE (programming & debugging), ThingSpeak

Roles and Responsibilities: Developed an LCD-based display system to show real-time heart rate, temperature, and distance/level values.

Interfaced multiple sensors (Heartbeat, LM35, Ultrasonic) for continuous monitoring of patient vitals.

Stop Watch using Verilog

Description: This project presents a Verilog stopwatch can be used to measure time down to 0.1 seconds. It can be used in a variety of settings, such as scientific research and sporting events, where precise time measurements are required.

Tools Used: Xilinx

Roles and Responsibilities: Designed a fully functional digital stopwatch using Verilog
Implemented start, stop, and reset functionalities using FSM-based control logic.