EDUCATION
AP IIIT RK VALLEY (* YEARS INTEGRATED COURSE)
PUC -MPC (2014 - 2016) CGPA : 9.12 /10
Electronics and communication Engineering (2016 - 2020) CGPA : 8.5/10 ZPHS HOLAGUNDA
SSC 2014 CGPA : 9.8 /10
PROFILE SUMMARY
Seeking for a challenging opportunities where I can share my knowledge and skills for the fulfillment of the task given and to learn aspects in that field and to enhance my professional skills PROFESSIONAL SKILLS
Python
R programming
Machine Learning
Computer Vision
Deep Learning
Image Processing
Linux, Windows
CONTACT ME!
Phone: 767-***-****
Email: ****************@*****.***
LinkedIn: https://www.linkedin.com/in/sowmya-kavali-48a966155/ GitHub : https://github.com/sowmyakavali
Address : Kurnool, Andhra Pradesh
LANGUAGES
Telugu
English
Kannada
Hindi
SOWMYA KAVALI
WORK SUMMARY
MACHINE LEARNING INTERN
Worked on object detection and object segmentation projects . Executed end to end Road crack detection, Traffic sign board detection and object segmentation projects .
Gamenous Private Limited Hyderabad -(Jun 2019 - March 2020 ) PROJECT INTERN
Worked on Automatic object cropping, which can automatically crops the objects present the image and will save them into the respective folder Worked on Human Trajectory Prediction in crowded spaces paper, which is about predicting the future trajectory of people based on their current and past positions .
IIT Hyderabad (Jun 2019 - Jul 2019)
PROJECTS
TEXT EXTRACTION FROM IMAGE
Here I have used yolo for object detection and tesseract for text extraction . Finally it will results a csv file which contains required information
https://github.com/sowmyakavali/Text-Extraction-from-images LEMON COUNTING FROM IMAGE
Here I have used image processing techniques to count the lemons present in the given image
https://github.com/sowmyakavali/Lemon-counting
OTHER INTERESTS
Photography
Book Reading
Practical machine learning with Tensorflow by NPTEL Deep learning with Tensorflow by cognitive class
Neural networks and deep learning by coursera
python Data structures by coursera
GESTURE RECOGNITION
Generated a data set having different hand gestures and given it to a neural network model,which can able to recognizes the gesture and provides text and finally that text will be converted as speech by using python module
COURSES