Windows sign language assistant

Dear sir. Your project attracted my attention at first glance, because I've extensive experience in Windows Sign Language Programming. I'm really confident about your project, and very eager to join your project. If we have a chance to cooperate, I'll do my best to provide wonderful result. Looking forward to your response. Best Regards.

Dear Employer, I like your idea, congratulations. I have Know-how to build reliable object oriented software. More than 25 years building high quality software and solving bugs/wrong logic in pre-existing code. That experience permits me to have exceptional quality standards in Analysis / Design /Programming. Mostly done in C++ but also used other programming languages compiled or interpreted(like Python), and many libraries, basically what is necessary to do the job. I already checked and know the the basics of Unity, you don't have to pay for me to learn it. If there is something I do not know, I will learn it in my own time. Please check my feedback/experience at my profile and recommendation letter at portfolio. Best regards, Antonio Gomes

Hi! My name is Igor, I can help you with app I`m Fullstack Android/Java developer with 3+ years of enterprise development Feel free to contact me any time to discuss details of project

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.