Hello! I am GC Jyothi Prasanna.
I would like to for an organization which provides me the opportunity to improve my skills and knowledge to growth along with the organization objective..
Neural Networks and Deep Learning
Coursera
R 101
Cognitive Class
Introduction to Python
DataCamp
Convolutional Neural Networks
Coursera
Publications
Projects
- Pose Estimation
- Pedestrian Trajectory
- Vending Machine
- Self Balancing Robot
- Voice Based Personal Assistant Robot
- Swachch Bot
- Line Follower Robot
- Obstacle Avoiding Robot
Realtime multi-person 2D pose estimation is a key component in enabling machines to have an understanding of people in images and videos.This method uses a nonparametric representation, which we refer to as Part Affinity Fields (PAFs), to learn to associate body parts with individuals in the image. This bottom-up system achieves high accuracy and realtime performance, regardless of the number of people in the image. The first open-source realtime system for multi-person 2D pose detection OpenPose model is used in this project.
Pedestrian trajectory is imperative for the operation of autonomous vehicles and can significantly enhance the functionality of advanced driver assistance systems.
Most of the countries are using Vending machines for various purposes but there are of high cost. We tried to implement this in low cost. I had worked on Currency taking mechanism.
We know that any robot or a vehicle cannot balance with two wheels. The robot will definitely imbalances. To avoid imbalancing, the robot balance itself we used "PID Controllers".Here PID Controllers plays a key role in the project.Here P means Proportional which gives stability to the robot. I means Integral which corrects the accuracy of the error. D means Derivative which reduces sensitivity of the error.
We know that old-aged and handicapped people face problems while doing their works.We made a robot which is controlled by voice. We used TensorFlow for object detection. Whenever we give voice as input, the camera rotates and identifies the object.It picks the object and brings back to the person.
There are many robots for cleaning purpose. We wish to build a robot with low cost. We made an autonomous robot which sweeps the whole room.
It is an autonomous robot which is able to follow either a black a white line that is drawn on the surface consisting of a contrasting colour. Robot should sense the line with its Infrared Ray (IR) sensors that installed under the robot. We can use it in Home and Industrial automations.
Obstacle detection and avoidance can be considered as the central issue in designing mobile robots. An Obstacle Avoiding Robot which can detect obstacles in its path and maneuver around them without making any collision
February 2020 - April 2020
Developed Deep Learning models on industry problems related to image Classification and Object Detection using computer vision and deep learning.
December 2019 - February 2020
Developed Deep Learning models on CNN's, Auto-Encoders,Image Classification and Associative Memories. Published two research papers named as “ 1-D/ 2-D/ 3-D Hopfield Associative Memories ” and “ Incremental Learning: Deep Neural Networks ”.
2017 - 2021
Rajiv Gandhi University of Knowledge Technologies, RK Valley
I had completed my Bachelor's Degree(B.Tech) in the stream of Electronics and Communication Engineering (ECE) with CGPA of 8.43/10. I had hands-on-experience on Deep Learning and Machine Learning Technologies. I am a member in Robotics Club.
2015 - 2017
Rajiv Gandhi University of Knowledge Technologies, RK Valley
I competed my Pre-University Course(PUC) with CGPA of 8.59/10.
2014 - 2015
Zilla Parishad High School
I competed my Secondary Education with CGPA of 9.5/10. I am an NCC Cadet in my schooling. I am a Volley Ball player.
Address
17-96, New East Peta, Madanapalle, Chittoor(Dist.), Andhra Pradesh, India
Phone
9182508929
prasannajyothi805@gmail.com