One-shot Imahe recognition Using pythonn

I have experience in implementing ML and DL models using tenserflow, keras and scikit-learn. I have completed many projects. Some of these are as: 1. Human Activity Recognition (HAR) :- I have tried three models Support Vector Machines (SVM), K-Nearest Neighbors (k-NN) and Convolutional Neural Network (CNN) to classify six activities(Walking ,Walking Upstairs, Walking Downstairs, Sitting, Standing, Laying). The most accurate model tried is SVM with accuracy of 98.47%. 2. Brain Computer Interface(BCI) with the P300 Speller which aims for helping patients incapable to activate muscles to spell words by methods for their brain signal activities. The first classification is to identify the presence of a P300 in the electroencephalogram(EEG). The second classification is the combination of various P300 response for deciding the correct character to spell. 3. Handwritten Digit Recognition using CNN :- Implemented a CNN model using tenserflow to identify handwritten digits from the MNIST dataset. I will first discuss problem statement and your requirement properly and then I will propose an approach and estimated outcomes with you and if you will agree with that then I will code that and complete it. Your requirement and statisfaction will be my first priority. Looking forward to hearing from you. Thank You.

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Hi, I already bid on your previous project as well. I am an engineer specializing on computer vision and machine learning applications. I have years of experience working on production-level computer vision based applications such as smart surveillance, object detection and tracking, semantic and instance segmentation, face recognition, person-re identification, facial attribute detection, and various other applications. I have been working on similar projects like facial-recognition, person re-identification, recommendation systems, where similarity between two people/objects are computed with one or few samples. I fully understand the requirements of this task and the objective of this project. I can provide a good one-shot recognition approach using deep learning and other distance-metric algorithms. Moreover I am proficient in Python/C++ programming, OpenCV and other required libraries along with a very good knowledge in mathematics, statistics, computer vision and machine learning. With my knowledge and experience, I am sure I can provide an elegant, accurate solution for your task. I would like to discuss more info via chat. Regards, Dilina.