Summary
Overview
Work History
Education
Skills
Researchinterests
Leadership Experience
Certification
Work Experience
Languages
Timeline
Generic

Harshith Gudapati

Halethorpe,MD

Summary

Garner a wide understanding of the concept of computer science, develop advanced skills, and participate in aspiring research within a well-versed academic setting in computer science and technology.

Overview

2
2
years of professional experience
1
1
Certification

Work History

Generating images from a short text using GAN

11.2023 - Current
  • I developed a tool that can generate images from short text descriptions using Generative Adversarial Networks
  • The project incorporates concepts from natural language processing, computer vision, and deep learning to create a model capable of generating visual content based on textual input

Plant disease detection

06.2023 - Current
  • I built an end-to-end project on plant disease detection, Convolutional Neural Networks (CNN) and Mask R-CNN were utilized to detect multiple diseases in a single image with an accuracy of 98%
  • Additionally, various image pre-processing techniques were employed to enhance the accuracy of the detection system

Pneumonia Detection (Final year project)

08.2023 - 12.2023
  • My project focused on classifying pneumonic lungs from normal lungs
  • I have taken a dataset containing 5,823 images which are classified by using various models like resnet50, inceptionv3, Dense Net, EfficientNetb7
  • The model has achieved an impressive accuracy of 98%
  • The developed model’s level of precision helped us detect the infected lungs in a moment's notice.

Stock Market Simulation (Machine Learning)

08.2023 - 12.2023
  • In our Stock Market Simulation project, Gated Recurrent Unit (GRU) networks enhance AI's market understanding, enabling safer trading through feature extraction and risk management
  • Additionally, our reinforcement learning-based recommendation system utilizes historical and real-time market data to offer users AI-driven guidance on the best times to buy and sell.

Text-to-Image Synthesis and Validation using Stable Diffusion

06.2023 - 08.2023
  • Employed stable diffusion techniques to create diverse and high-quality synthetic images from textual descriptions, significantly enhancing text-to-image synthesis
  • I curated an extensive dataset across various domains and implemented a robust classification and object detection algorithm, incorporating YOLO v7 for object detection and ResNet-152 with Bottleneck Blocks for image classification
  • This approach improved the authenticity and utility of synthesized images, bridging the gap between text descriptions and visual content.

Breast cancer detection (Deep learning)

01.2023 - 05.2023
  • Engineered a Deep Learning project for the early detection of Breast Cancer, utilizing Convolutional Neural Networks (CNN)
  • Developed two models leveraging distinct architectural configurations, including layers such as flatten, dense, and activation functions like sigmoid and relu
  • Achieved an exceptional accuracy of 99.3%
  • Implemented the project using TensorFlow framework, showcasing expertise in advanced AI techniques for medical diagnosis.

Sign language recognition

06.2022 - 12.2022
  • Engineered a cutting-edge Sign Language Recognition model utilizing LSTM architecture, enabling seamless communication for individuals to communicate with people who cannot speak by accurately interpreting intricate hand movements
  • The model leverages real-time camera input and advanced AI algorithms to generate corresponding words, showcasing a remarkable accuracy in excess of 97%
  • Trained the model on custom datasets of numbers and alphabets
  • This innovative solution enables real-time translation of sign language gestures into corresponding words, significantly enhancing inclusivity and accessibility.

Education

Master of Science - Information Science

University of Maryland - Baltimore County
Baltimore, MD

Bachelor of Science - Computer Science

Vellore Institute of Technology
India

Skills

  • Java
  • Python
  • JavaScript
  • SQL
  • Tensorflow
  • Keras
  • Pytorch
  • Numpy
  • Pandas
  • OpenCV
  • IBM Watson assistant
  • Power BI
  • Visual studio
  • Raspberry Pi
  • Google colab

Researchinterests

  • Data Analytics
  • Deep learning
  • Machine Learning (ML)
  • Generative AI

Leadership Experience

  • Demonstrated strong leadership skills as President of Photography Club for the 2022-2023 academic year. Effectively guiding the team to achieve success in organizing and executing multiple events. Took an active pivotal role in the OSC Club, fostering collaboration, and creativity and exploring innovative technologies
  • I headed, initiated, and spearheaded many group projects in my 6th semester in 2023, which was a dynamic setting of research-enthused students. I personally initiated and nurtured the team, overseeing a dedicated team of 5 highly engaged students and managing the successful execution of multiple concurrent projects.

Certification

  • Modern Application Development(Spring boot) by Smart Bridge (Externship Program), 05/2023, 07/2023
  • Certified in a spring boot course specialized in developing modern applications, with hands-on experience in coding various architectures and frameworks, including react, node, MongoDB, typescript, and more. Developed a website from the ground up with fully functioning and dynamic front-end and back-end processes.
  • Artificial Intelligence and Data Science from Skolar, 04/2023, 06/2023
  • Certified in a Python course focused on AI, with hands-on experience in coding various machine learning and deep learning algorithms, including CNN, logistic regression, YOLO, and more. Executed an image captioning project using RNN, utilizing the COCO dataset for model training.

Work Experience

National Remote Sensing Centre (NRSC, ISRO) 3/2024 - 5/2024

  • Developed a ship detection and segmentation system using YOLOv8, enhancing the government’s capability to track unidentified ships in national waters.
  • Conducted research and analysis on remote sensing data to optimize detection algorithms.
  • Worked closely with multidisciplinary teams to refine the system's accuracy and efficiency.

Languages

  • English
  • Hindi
  • Telugu
  • Japanese

Timeline

Generating images from a short text using GAN

11.2023 - Current

Pneumonia Detection (Final year project)

08.2023 - 12.2023

Stock Market Simulation (Machine Learning)

08.2023 - 12.2023

Plant disease detection

06.2023 - Current

Text-to-Image Synthesis and Validation using Stable Diffusion

06.2023 - 08.2023

Breast cancer detection (Deep learning)

01.2023 - 05.2023

Sign language recognition

06.2022 - 12.2022

Master of Science - Information Science

University of Maryland - Baltimore County

Bachelor of Science - Computer Science

Vellore Institute of Technology

Similar Profiles

CREATE PROFILE
Harshith Gudapati