I'm
Sairam Adithya
Aspiring Full Stack Data Scientist, Machine learning enthusiast, Deep learning fanatic, Book and Blog writer, Research freak
I'm
Learn About Me
Hi, my name is Sairam Adithya and I'm an A.I aspirant with a passion for data science and machine learning. I have completed my undergraduate degree in Biomedical Engineering from Rajalakshmi Engineering College and going to pursue masters in Artificial Intelligence and Machine Learning at Symbiosis University. I'm skilled in Deep learning, Machine learning, Data science, Medical Imaging, Researcg, Blogging, Book writing and Presentations. I enjoy working on A.I based projects and I'm always looking for new ways to innovate and improve my work. What drives me in my work is the belief that I can make a difference. I'm passionate about [Passion or Motivation for Work] and I'm dedicated to making a positive impact in the world. Whether I'm on developing projects or cooking food, I'm always striving to create something meaningful and valuable. Thank you for taking the time to learn more about me. I'm excited to connect and explore opportunities to work together.
Medical Imaging Research
Deep learning
Machine learning
Data Science
Desktop app development- PyQt
Web development- Streamlit and Flask
Computer Aided Diagnosis
MLOps
Webscrapping- BeautifulSoup
Web designing- HTML and CSS
Blogging
Book writing
What I do
I am keen towards the application of artificial intelligence in medical imaging. I have worked on many research projects related to deep lerning applications in medical imaging for the development of automated diagnosis algorithms.
Using streamlit and flask development tools, I develop ML and DL based websites for various applications, healthcare of primary importance. I have developed feature based classification, regression, image classification and image segmentation wesbites and have hosted them too.
Using PyQt development tool, I develop deep learning based diagnostic systems running independently on offline basis through desktop applications. I have developed applications for image classification and image segmentation tasks.
Writing has always been my passion. Expressing my thoughts in paper and ink is always the best. I have written many blogs in different genres on both tehcnical and non-technical domains.
Publications
This project is about the development of deep learning algorihtm, website and desktop application for automated diagnosis of gastrointestinal abnormalities from capsule endoscopy images.
This work is about the development of deep learning algorithms for segmentation, classification and quanitification of polyps (stomach cancers) using colonoscopy images along with desktop application.
Osteoarthritis is one of the emerging diseases influencing the old everywhere in the world. This disease is most common and extreme in the knee; making the existence of the patient's; dreadful. This book gives bits of knowledge into the different parts of the illness going from its set of experiences to its modern turns of events.
This project is about the development of an integrated diagnostic system for diabetes using deep learning. Fundus imaging, thermal imaging of the foot, dermal imaging and OCT are the different imaging modalities considered for this project. The CNN algorithms were developed and trained on public datasets. The website was developed using streamlit and hosted via streamlit share.
Our work is to develop an integrated system to aid oncologists and clinicians in the diagnosis, confirmation and follow-up analysis for breast cancer using principles of artificial intelligence and medical imaging modalities. The decision making is made by deep learning models trained on thousands of images of several medical imaging modalities.
Workshops
Achievements
I was awarded a honor award for my exceptional Contribution towards Center Of Excellence in Medical Imaging in my undergrad. This award was given by my department in honor of my work towards completion of 5 research projects and 3 workshops.
I got AIR-1 rank in the NPTEL course 'Demystifying the Brain' conducted by IITM. Around 2000 students wrote the exam out of which only 180 students passed the exam and i stood out as the topper of that year.
I was awarded with the V N Srinivasan award of innovation for winning IPC-2022, an Inter College Project Competition. I worked and developed an early detection software for autism using image processing and deep learning.
From Blog
Artificial intelligence. It’s more like a buzzword, this term is being heard in every nook and corner of the world. Many are making revolutions and creating powerful impacts using this technology. The world is moving towards automation using artificial intelligence as every process is being automated in order to ease humans. But there are certain controversies stating that A.I is leading the world to destruction and will completely destroy mankind. This blog is a brief about this powerful technology. Before entering into the debate of A.I, I would like to put a clear picture of the concept.
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The previous article was a brief introduction to artificial intelligence. This article is about the scope of artificial intelligence in the field of medicine. All processes present in the medical field can be broadly categorized into three fields, namely, diagnostics, therapeutics, and rehabilitation. Artificial intelligence can be applied in all three fields of medicine. This article explains the role of artificial intelligence in these three fields of medicine.
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The previous article was about the applications of artificial intelligence in the medical field. This article is about the application of artificial intelligence in diagnostics, particularly, expert systems, computer-aided diagnosis and computer aided medical decision making systems. All of these applications fall under the field of medical informatics.
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