Saksham Checker |

Machine Learning

Artificial Intelligence

Federated Learning

Engineer 🔥

About Me
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Hi there! I am Saksham Checker from New Delhi, 🇮🇳
I am currently pursuing Bachelor of Engineering from Delhi Technological University.

Resume
Experience

Visiting Student

University of Cambridge

March 2023 - Present

Research Intern

Indian Institute of Technology, Delhi

Jan 2024 - Present

Researcher

CALIBRE - DTU

Jan 2021 - Present

Research Intern

Indian Institute of Technology, Dharwad

May 2022 - July 2022

AI-ML Intern

HearUs

Jan 2022 - March 2022


Programing
    • C
    • C++
    • Python
Skills
    • Machine Learning
    • Machine Learning
    • Deep Learning
    • Deep Learning
    • Networking
    • Networking
Tools
    • git
    • Git
    • github
    • Github
    • vscode
    • VS Code
    • gitlab
    • Unity
    • blender
    • Blender

Social

Publications
Feature Aggregation with Latent Generative Replay for Federated Continual Learning of Socially Appropriate Robot Behaviours
Nikhil Churamani, Saksham Checker, Hao-Tien Lewis Chiang, Hatice Gunes

A Federated Continual Learning study on SocRobs

Bibtex PDF
Federated Learning of Socially Appropriate Agent Behaviours in Simulated Home Environments
Saksham Checker, Nikhil Churamani, Hatice Gunes

A Federated Learning Study presented in ACM/IEEE HRI2024


DOI Bibtex PDF
A Survey on Intrusion Detection System for IoT Networks Based on Artificial Intelligence
Saksham Checker, Madhuri Yadav, Rahul Katarya

A Survey on IDS presented in IEEE ELEXCOM2023


DOI Bibtex PDF
Fake News Detection System Using Featured-Based Optimized MSVM Classification
Ravish, Rahul Katarya, Deepak Dahiya, Saksham Checker

A novel fake news detection system, published in IEEE Access Journal


DOI Bibtex PDF
Solar Panels Crack Detection using Overhead Images
Saksham Checker, Saksham Gupta, J. P. Kesari

A CNN based Solar Panel Crack Detection, Published in IJRASET


DOI Bibtex PDF
CNFMD: Convolutional Network-based Face Mask Detection
Saksham Checker

Face mask detection study published in World Journal of Advanced Research and Reviews


DOI Bibtex PDF
Projects
Satellite Image Classification using CNN

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.


Medium
Human Activity Recognition

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.


Medium
Amazon Product Recommendation System

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.


Medium
Brain Tumor Segmentation

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.


Medium
Savinodam

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


Github