Deploy a Machine Learning Model to web services

Hello, client. As a ML expert, I have heavy experience in classification, detection, NLP and OCR using tensorflow, Keras, pytorch. I am familiar with web development. I feel confident I can fulfill your requirement perfectly. Please contact me so that we can discuss in detail. Thanks and regards. Damian.

Pro Python/Amazon Web Services/API/Flask/Aws Lambda Expert! Hi client. Once saw a your project, it was very attracted my mind because I am very interested in your project and also, have rich experiences and high skills on these fields because I have been working in this fields for 8+ years. If given a chance, I am highly confident in my ability to deliver the highest quality. I am confident that my involvement in your project will bring it to a successful launch, on time and within budget. I look forward to hearing from you. Kind Regards

Hey, Can you provide the code file? I can take a look at it and let you know If I find the problem. Thank you, Kamal Chhirang

⭐⭐⭐Dear sir!⭐⭐⭐ ✅I am very interested in your project and I am exciting. ✅I read your project details carefully and I thought that I am the best fit developer for your project. ✅I have rich experience with your project, so I have a clear way to complete the project. ✅Your project is very fit for my skill sets. ✅If you are willing to award the project to me, It always will be completed perfectly. Thank you!!

Hi, I can help you to deploy your ML model on the server and connect it with the REST API. Let's have chat to discuss further on this project. Thanks, Sayan

https://www.freelancer.com/projects/python/Raspberry-Gender-Age-Recognition-two/ https://www.freelancer.com/projects/test-automation/owsap-zap-automation-using-selenium/ done similar tasks lets chat

Hello, Dear! I’ve read your job very carefully and understand what you want. I'm an excellent Deep Learning expert. I have developed many AI projects using Tensorflow,Torch and Caffe. I have enough experiences in medical image processing by CNN, R-CNN, Fast R-CNN. I have special power ability to Deep Stack and Reinforcemet Learning such like AlphaGo Zero,including Tactron-2...Speech Synthesis, experiences in YOLO, Image Detection,Dlib, OpenCV... I'm developping in Image Fast Detection and Segmentation on Rasphberry PI 3. I have enough experiences to recognize car plate number with Rasphberry, using dlib and opencv, tensorflow. Any of your requirements are welcome. I can start your project immediately. I can provide full-time communication and work your time-zone. If you give me a chance to serve you, I will provide a high quality product within the deadline. Best Regards

Dear Client, We are a highly professional and committed team of  Data analysts, machines learning/deep learning engineers and NLPexperts. We will provide you professional results and we'll work till satisfied results. Please contact back to discuss more. Thanks

Hi, Thank you for sharing this interesting project. I am very much interested in this project. I am well experienced Web Developer from the industry and I can help you to have a nice looking website with full functionalities, responsive, and mobile friendly as well. I have already worked on PHP, Laravel, Wordpress, Woocommerce, Magento, Joomla, Prestashop, E-learning websites, Python, Ruby on Rail, React Native and Mogo DB. I am very much confident enough that I will help you to have a great looking website as per your choice and demand. References are available on request. Please provide me more details regarding the project so that we can move further. Waiting for your positive response. Thanks

Hi, We are interested on this project, can help you to deploy your model on the server and connect it with the REST API. Let us know when to discuss further on this project. Thanks, Tapas

I recently submitted a paper to the computing in cardiology conference using ML - LSTM for Sepsis detection, so am very familiar implementing LSTM using tensorflow/keras. I know python and react and can help implement the web page in react using REST to connect to the backend.