Built a model detection algorithm to detect all different kinds of objects starting from people to even cell phones. Yesterday, I posted the code doing the same stuff using OpenCV. This model was although built using Tensorflow. You can check out the video demo at this link
Revisited my code to recognize objects using opencv. In this project, I trained the model to detect wrist watches, human face and water bottles using 50*50 images.
Implemented Plan-9 of my project to better the accuracy of detecting chest abnormalities from Chest X-Ray images.
Started working on my conference paper. It's about detecting lung cancer cells from histopathology images. I completed making the model which achieves an accuracy of 99.38% while detecting three different types of cancer cells.
Finished my noteclub project. I've been working on this for quite a while now. The website stores all your class notes and anyone who wants them can download it from the site. I've categorised everything with respect to departments, subjects and semesters. It is made specifically for my college right now but if anyone wants this for their colleges/schools can easily do that. Here's the link: noteclub.engineer. The source code to the entire project: Note-Keeper
Finally got the time to deploy my project. I'm still working on the domain name though, will share it here as soon as it finishes. For now, you can check it out here.
Finally received one of the best books on Deep Learning out there. It's amazing.
Today I finished off my Plan-8 of finding better accuracy using Convolutional Neural Networks to detect abnormalities in a Chest X-ray.
Took part in a new Kaggle competition, the next few days will be all about detecting wheat heads from labelled images😅.
Started a deep learning course on Coursera by deeplearning.ai.
Adding designs and some final touches to my website before I launch it.
Working on handling folder (as well as multiple file) uploads on my website.
Working on my blog on different Deep Learning models and their performance on a certain dataset. Do check it out on my portfolio: Tech-Turtle if you are into machine learning.
Since the pandemic started, we all had to rely on the Internet more than ever for our studies. So I built a website (using Django) where anyone can upload and everyone can download those files. I've categorised the files with respect to colleges, departments, semesters and subjects so that it becomes easy for the users to get what they need. I have still some work left on it, so I haven't made it live yet. Will share the link as soon as it will be live.
