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Alec AI Assist

Ayush Anand

Ayush Anand

New Delhi, Delhi

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  • 0 Collaborators

Alec AI Assist is a Machine Learning Chatbot that helps you fight against Fake News available on Google Assistant. Alec AI Assist is an initiative by InTru Innovations all curated in the fight against cyber threats and make a safe digital space by its developer Ayush Anand. ...learn more

Project status: Published/In Market

Mobile, Artificial Intelligence

Code Samples [1]Links [1]

Overview / Usage

About

Alec AI Assist is a Machine Learning Chatbot that helps you fight against Fake News. Alec AI Assist is an initiative by InTru Innovations all curated in the fight against cyber threats and make a safe digital space by its developer Ayush Anand.

Vision Behind

Do we really enjoy freedom? In this 21st Century- the Era of Technology, Digital Independence is the greatest buzz. In the wake of ongoing Social Media crisis and rising coherence of fake news, the digital world is experiencing its one of the most powerful challenges ever since its liberalization. Advocating free speech and limitless web has made propagation of fake news much and more easier and faster. Hoaxes go viral faster than the truth. But, this situation can be reversed by us taking a smarter and digitally literate alignment. However, don't panic WE are here to save us all. Marking its much-awaited launch, ALEC AI ASSIST, a Voice-enabled Virtual Assistant to help you combat Fake News, is now available publicly. Partnered with the Google Assistant across Smart Home devices, Mobile Phone, Android TVs, Smart Speakers, etc. you check for Fake News on your fingertips. Just a tap away- https://assistant.google.com/services/a/uid/00000042d67a9722?hl=en and you are in it!

Methodology / Approach

Tech Behind

To deliver a richer experience to its user, Alec AI Assist uses NLP (Natural Language Processing). It has been developed with the Official DialogFlow Development window, which tightly integrates with the Google Assistant. Additionally, it uses Natural and _Brain _Node.JS Packages to implement an NLC (Natural Language Classification).

It extracts the user input with parameters defined with contexts, and then processes it to achieve a predicted result. With about 98.7903226% accuracy it can deliver results in as less as 1352 milliseconds.

Technologies Used

Vision Behind

Additionally, it uses Natural and _Brain _Node JS Packages to implement an NLC (Natural Language Classification).

It gets the text to be classified from the user input using "Parameters" during the conversation. Then, with the Cloud Function paired with the webhook in the intent processes the text with pre-trained model of Node Packages and displays the output.

Repository

https://github.com/ayushanand18/alec.ai

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