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Artificial Intelligence
Federated Learning
Engineer 🔥
Hi there! I am Saksham Checker from New Delhi, 🇮🇳
I am currently pursuing Bachelor of Engineering from Delhi Technological University.
University of Cambridge
March 2023 - Present
Indian Institute of Technology, Delhi
Jan 2024 - Present
CALIBRE - DTU
Jan 2021 - Present
Indian Institute of Technology, Dharwad
May 2022 - July 2022
HearUs
Jan 2022 - March 2022
Satellites are used for weather analysis. Satellite images can be used to predict the type of terrain in an area. This project uses images of different classes to detect the type of terrain or to classify the area as cloudy.
There are multiple sensors in a phone such as accelerometer, gyroscope sensors etc. These sensors can be used to detect the activity of the owner of the phone. The major implementation of this techniques is smart watches and fitness bands. The hand-wears detect the activity of the owner and thus calculate the number of calories burnt by them during the activities.
Every e-commerce website works with a recommendation system to provide the customer with best recommendations on what they might be willing to buy. This article covers how Natural Language Processing can be used to recommend products for the customer. The models are tested for Fashion products. The project is also presented as to complete the course of CO102 at Delhi Technological University.
Accurate automatic algorithms for the segmentation of brain tumors have the potential of improving disease diagnosis, treatment planning, as well as enabling large-scale studies of the pathology. This article presents the implementation of two Deep Learning models which are used for segmentation of brain tumor using the images available in a dataset on Kaggle.
Participated in Toycathon 2021 organized by the innovation cell of Ministry of Education along with AIEEE. Out of the initial 17000+ ideas nation-wide, our team reached the final round of the competition with 270(approx.) participating teams. We created a Unity based game, reviving Sanskrit through ancient Gurus themselves