Connecting a Machine Learning Model (Translation-Seq2Seq model) to front end

I am Aditya Girish Pawate, the head of the organisation called Chi SquareX. We are an agency with the name Chi SquareX. All our members are from the Indian Institute of Technology, so you should expect quality work. We provide services in the domain of Machine Learning, AI, Deep Learning, Algo Trading. Expertise: Training Machine learning, Deep Learning, Reinforcement Learning Models Frameworks are compatible with Pytorch, Tensorflow, Keras. Training ML models like Bayesian Networks, XGBoost, Random Forest, Decision Tree, KNN Classifier, GBM, GLM, SVM. Training DL models BERT and all its variants, DNN, CNN, LSTM, GRU, Variational Autoencoders using Bayesian Neural Networks. eXplainable AI (XAI) using LIME, SHAP, GRAD-CAM, DeepLIFT, DeepRED, CausalNex. Here are some of our previous works: Hair transplant startups require some image generation for their customers. Masters Thesis in Art Generation using GANs Head Gesture recognition using temporal signal data Hairstyle Classification Heartbeat recognition using Multilingual BERT for Document Ranking Algorithmic Trading on Indian Stock Market Yolov5 for Object Detection Kinetics 700 classification Aircraft Optimization Bio-BERT for Medical Dataset SciBERT for Explanation regeneration I have read your project details and I am confident that I can contribute towards it. Please message me so that we can talk further about your project.

Hi, your model can be packaged into a flask webapp with the desired frontend, the frontend will receive the sentence process it and send back the response from the API .I have created similar web apps and deployed them on AWS . Looking towards hearing from you thank you

Hi I have 6years of experience in django i will do web scraping using python with UI elements level as well as API level, kindly let me know the details for further discussion.

Hi, I have read your post carefully and am very interested in your project. As a DL/ML Expert, I have 7+ years of experience in DL/ML, Computer Vision, Image Processing and Face Recognition. Deep Learning frameworks I mastered are following. - Pytorch - Tensorflow - Keras - Caffe - MxNet - NCNN - etc. And the projects I developed successfully are following. - Object Detection and Recognition - Smart Face Locker - Face Recognition App - Camera Surveillance System - etc. So I am confident in your project and can help you perfectly. Let’s discuss about your job in detail to finish your job correctly. Please contact me. I will keep waiting for you. Thanks.

I am professional for this work.I am not to disappointed for you and I am completed your work at your time.