Deep Transfer Learning with Apache Spark to Detect COVID-19 in Chest X-ray Images
Crowd Counting with Pytorch CSRNET
Drowsiness detection system with deoloyement on raspberry pi
Egg Detection system with Yolo v4 and deployment on raspberry pi
Face Recognition based locker system, deployment on raspberry pi
Face Recognition in image and real-time with FaceNet, MTCNN, SSD, SVM, and KNN
Worked on Yolo v3, v4 for Multiple Object Detection
Trained Custom Object Detection Model
Custom Face Mask Detection with Yolo and tiny-Yolo v4 
SSD-MobileNet for multiple Object Detection
Face Detection with Deep Learning
Face Recognition based Attendance System in real-time by using Dlib, face_recognition library.
Human Pose Estimation and Tracking by using mediapipe
Human Hand Detection and Tracking by using mediapipe

I have worked with Khyber Coded as Machine Learning Engineer and Android Developer for more than 1 year. 

• Conducting Research
• Writing Research Contents
• Worked on Brain Control Intelligent Prosthetic Bionic Leg For Above Knee Amputee
• Data Acquisition of Biomedical Sensor (EMG Sensor).
• Applied Different Filtering Technique of Noisy Digital Signals (DSP).
• implemented Different Deep Learning Technique with Python.
• Experienced on EMG Sensors (Biomedical Sensor) Data and Hardware components like Arduino and Motors (Servo and Stepper)

• Gained different type of skills
• Worked and Research on different Project
• Deployment of Product
• Android Application Development