Hi,

I have 2+ years of experience in Computer vision, deep learning using python and have worked on convolutional neural nets (CNNs) for image classification and object detection(Yolo), machine learning for threat detection, video scene recognition, image feature extraction, OCR, bimoetrics, ANPR( automatic license plate recognition).

Have expertise on Python programming / Flask & PQt5 / Html and CSS / Data analysist and modeling / API design knowledge / Product development / Algorithm implementation.

Task Completed:

• Build detection and classification model using Python, Tensorflow, Yolov5 & Yolov4, keras, scikit-learn
• Design a model for detecting fire and localization using Surveillance Cameras
• Implemented a CNN + SVM anomaly detector in human body
• Design and implemented algorithms for smart fridge monitoring systems
• Maintain revision logs and manage program and data archival schedule
• Objection Detection / Counting  using Yolov5, Yolov4, CNN and OpenCV
• Pose Estimation
• Random Image generator
• Data Science Apps with Streamlit and PyQt5 using Python
• Model training and testing
• Semantic Segementation
• Imporvement in Model Performance
• Python complete packages Installation guide

Algorithms for Deep Learning & Object Detection

• RNNs, CNNS, ANNs
• VGG16/19, LSTM
• Resnet
• Inception Net
• RCNN, Fast RCNN, Mask RCNN
• YOLOv5 / 4, YOLO Deepsort
• Media Pipeline

Tools

• Python
• OpenCV
• Pandas
• MatPlotlib
• Numpy
• Keras
• Tensorflow
• Scikit-learn
• PyQt5
• Steamlit
• Flask

Note: I will Took the product from, “Minimum Viable Product,” to market ready product in one month 

Why Me

• Quality Work
• Unlimited Revisions
• Clean Code
• Help in running the code
• Customer Satisfaction is My Top Pirority

Looking forward to work with you

!!!/-----Please contact me before placing an order so that we can discuss about project requirements and avoid cancellation----/!!!