Twilio Jobs
Looking to build a cloud based call center web app using Twilio API on AWS server, for inbound and outbound calls. Skills: React.js / React Native / Node.js -- FrontEnd UI & BackEnd MySQL -- DB WebSocket -- Pushed data in real time into the web app. Some features: - Various routing rules - Analytics reports - Web based dialer - Time clock management Design will be provided. Must have experience with Twilio API & building web based call centers. Reach out to us for more details.
I have a Twilio Account which can receive Whatsapp messages and store in a database at my endpoint, but I the problem is I can only store the text messages, I need to store also the media file received from the Whatsapp like voice messages, photo and PDF that i've received.
I am getting issues. I cannot get the video calls from the last 3 days. I don't know what happens. The didReceiveIncomingPushwith method is not calling when I am calling from another device. Please get in touch with me if you have experience in this.
I am having issues, where I cannot get the video calls from the last 3 days. I don't know that something happens. didReceiveIncomingPushwith method is not calling when I am calling from another device. Please get in touch with me if you have experience in this.
I am looking for someone that is familiar with Twilio and all the possibilities it provides, or with basics and willing to become an expert to accompany in discovering what Twilio has to offer.. Note, no coding skills required. But if you have, please advise. As I am a service provider for SME ecommerce businesses with 500+ clients, I would like to develop products and services with Twilio. As a matter of fact, I already have inquiries for solutions from a couple of clients with whom I discussed the demand. In your application, please refer to your experience with Twilio, your skill set.
Need a developer to create a Sentiment analysis program. Developer - Data scientist, Python Programing, Database, javascript Project Identify and categorise customers/users on LinkedIn based on sentiment analysis of blog posts on LinkedIn 1. Identify all users who commented on the post 2. Sentiment analyses >> Positive comments vs negative comments 3. Classify if the user is parent/teacher/student/influencer/Paid user/other 4. Classify if their comment is associated with a specific brand Example blog