*** Liveness Feature for Mobile

First:- Chatbot --> This can be integrated by any Facebook page, Slack etc. Its main aim is to reduce the human effort. For example, if this Chatbot is integrated with company page so it can easily answer you some basic questions about the company. Second:- Word Predictor --> This will be integrated with my Chatbot and it's an algorithm is such that it will learn according to previous input given and then It will suggest the next question and next word accordingly. Third:- Comment Checker --> This has a huge set of words inbuilt with its degree and level and it will analyze each comment and according to that it can give the report or if any inappropriate comment is taken it can forward to the authority. Speech Recognisation Train the database using deep learning, doing language model and lexical model for Arabic , adding functions to increase different types of noise at different levels as the picture shows. Then we notice the results.

I have a liveness for Android! I am professional mobile app developer with over 8 years experiences. I am very interested in this project. Hope to work with you. Best Regards

I have a liveness for Android! Hi, Greetings!! We have huge experience of working in face recognition and machine learning. Please chat with us so that we can discuss further Looking forward to your response Thanks & Regards, Suhasini

Hi,dear. I am very interested in your project - '*** Liveness Feature for Mobile'. I've already done this kind of project before. I'm a professional programmer with 12 years of experience. If you award me, I'll implement all of your requirements in a short time. Skills: Face Recognition, Machine Learning (ML)

Hello Dear Hiring Manager, I'm a Masters Student in Natural Language Processing with extensive experience in Deep Learning, NLP, Speech Recognition and Text-to-Speech (TTS). I also have 4 years of full-time work experience as an ML Engineer. My current research work is on Adversarial training of End-to-End Speech Recognition. I am a problem solver and I believe in providing complete solutions. If you have a project in mind and you don't even know where to start, then you've come to the right person. I also have a vast knowledge of Statistical Learning like categorical data analysis, Bayesian statistics, decision trees, cluster analysis, and predictive modelling. I have also managed live production environments on AWS. ML frameworks: Tensorflow, PyTorch, Keras, Chainer, Theano, Apache Spark Python frameworks: numpy, pandas, Scrapy, scikit etc. Programming Languages: Python, SQL I'm flexible with my working hours and am happy to work closely with any existing freelancers you work with. You can expect prompt, polite and helpful communication from me. I look forward to hearing from you! Kind regards, Himanshu

I am a Data Scientist from Scotland I have a vast amount of experience in AI, Machine Learning and Deep Learning. I can deliver the task using a CNN-based methods for face anti-spoofing either through a texture-based method or a series-based methods as Most of the texture-based methods treat face anti spoofing as a binary classification problem. lets discuss more when you are available.