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Are you looking for a smarter way to handle customer calls? We provide AI Voice Agents that can: 1. Handle inbound and outbound calls 24×7 2. Automatically update your dashboard with call data 3. Understand, summarize, and log conversations 4. Suppo

🔥Biggest update! We have formed an I-NL syntax for our programming language in its past version (v1.1o) it was running on NL Syntax but now it has I-NL syntax, so now it can handle more Complex words and phrases inside the code. A few more feature

I am in my 2nd year of engineering, me and my friend started a project which is related to the Mental Health domain (not an app), while surveying about the project, the psychiatrists which we consulted were actually interested in it. so we decided to

WWE is not in the business of wrestling or even entertainment but they are a talent management company As of today, the WWE show is telecasted in over 180 countries and broadcast in 20 languages, with over $1.3B in revenue If we deep dive into th

I dont understand how Indian #Startups are trying build company #troubling people. In my case startup NoBroker.com has taken my ₹80 K from one of my family member for home maintenance and not been refunded since more than 2 months. They have clos

This is truly a commendable advancement by Mistral AI. Achieving 99% OCR accuracy across multiple languages, including Hindi, is no small feat. In a country like India, where documentation often spans various scripts and formats, such technology can

Would the idea to start an app for getting Legal advices from lawyers work ? This is to solve basic issues in daily life. User need not pay unless lawyer is ready to give an advice. It's like User asks an advice 1)A request would be sent, if the

Hey I want to share some experiences with you all here. Being from a not tech background, I will help from professional developers I developed a proptech platform named Realezi. we solve complex problems like, client privacy, getting a personalized

One of our recent achievements showcases how optimizing code and parallelizing processes can drastically improve machine learning model training times. The Challenge: Long Training Times Our model training process was initially taking 8 hours—slow