SUMANTH GANDIVALASA

Software Engineer

About Me

  • To work as a Software engineer, using my knowledge in testing, creating and maintaining software to meet the requirements of people seeking to be a part of team driven people dedicated to the company success and objective.

Work Experience

Intern
- HCL
  • Developed a mini-project titled 'COLOR RECOGNITION' as a part of MoU initiatives.
2023-01-20 - 2023-05-20
Srikakulam, Andhra Pradesh, India

Education

B.E. - Computer Science And Engineering
2020 - 2024
Sathyabama Institute of Science and Technology
12th
2020 -
Sri Chaitanya Jr College, Visakhapatnam
10th
2018 -
Keshavareddy School, Srikakulam

Projects

WEATHER APP USING REACT
  • Weather prediction is the application of science and technology to predict the state of the atmosphere for a given location. This system will predict weather based on parameters such as temperature, humidity and wind. This system is a web application with an effective graphical user interface. To predict the future's weather condition, the variation in the conditions in past years must be utilized. The probability that it will match within the span of adjacent fortnight of previous year is very high. We have proposed the use of linear regression for the weather prediction system with parameters such as temperature, humidity and wind. It will predict weather based on previous records; therefore, this prediction will prove reliable. The Weather app is extremely useful to check weather for users all across the world and it will only grow by time. Most popular Weather apps are Google Weather, Yahoo Weather etc., as these apps are very user-friendly.
Scene Perception and Object Tracking
  • This study explores the integration of the YOLOv5 algorithm in scene perception and object tracking within computer vision. Our primary objective is to enhance recognition effectiveness and precision by customizing and implementing YOLOv5 to handle dynamic settings and diverse objects. The methodology encompasses comprehensive data collection, preparation, and model training using varied datasets. Results showcase YOLOv5's efficacy in real-time image comprehension, offering valuable insights for robotics, surveillance, and related fields. This research contributes significantly to advancing computer vision, emphasizing YOLOv5's capabilities in complex visual environments.

Certifications

HCL COLOR RECOGNITION Project Certificate
  • I received a certificate for the successful completion of the mini-project titled 'COLOR RECOGNITION' as a part of MoU initiatives.
ReactJS Web App Development Certificate
  • I received a certificate for the successful completion of a professional course (online) and a mini-project on 'ReactJS Web App Development.'