Prakhar Vashistha

A highly driven, motivated, and enthusiastic engineering student with a strong technical acumen and a passion for continuous learning. Possesses excellent problem-solving skills, and a keen interest in exploring innovations and topics. Demonstrates effective people management abilities, fostering teamwork, and collaboration in various projects. Actively engages in sports, photography, and music, which contribute to a well-rounded, dynamic skill set. Eager to apply engineering knowledge and interpersonal capabilities in a challenging, innovative work environment.

• 1st Prize, IDEATHON – 2023, Organized by Industry Institute Relationship Cell in collaboration with IEEE
• 2nd Prize, General Knowledge Quiz, Inter-House competition organized in St. Anne’s Convent School
• 2nd Prize, Athletics, Conducted as a part of Annual Athletic Meet at St. Anne’s Convent School

Real-time lane detection using image processing in Python:

• Developed an intelligent driving system using Python, with enhanced lane detection by leveraging lane marker data to predict vehicle position and trajectory, aiding advanced driver assistance, and autonomous driving technologies
• Devised a novel lane detection approach using OpenCV, involving video frame segmentation, image feature extraction, Gaussian filtering, Canny edge detection, and Hough line transform to identify lane markings

Low-Cost Water Quality Monitoring System using Arduino-Based Sensors:

• Designed an Arduino-based water quality monitoring system using TDS, temperature, and turbidity sensors to convert analog data into digital form for display
• Wrote a research paper that aims to test the sensor system and lays the groundwork for future development, including making the prototype IoT-friendly

ECG signal processing and arrhythmia detection using MATLAB:

• Developed a MATLAB-based ECG analysis system to process biomedical signals, extract heart rate, and detect arrhythmias using digital filtering and QRS complex detection algorithms
• Evaluated system accuracy using the MIT-BIH Arrhythmia Database, and authored a research paper proposing future improvements using machine learning-based classification methods

• Joint Secretary Technical | American Society of Mechanical Engineers – CCET Student Section (Feb'22-Jan'23)
• Student Editor | Glimpses - The Official Magazine of St. Anne’s Convent School (Apr'16-Jan'17)