Tech

AI can Track Unsafe Food by Surveying Customer Reviews

Published

7 years ago

August 20, 2019

The researchers from Boston University developed a new AI, called BERT, that detects unsafe food. This AI uses Amazon customer reviews to tell which food is safe and which isn’t. Its accuracy is about 74% which isn’t too bad to begin with.

It detects any food that’s contaminated with chemicals, toxins, pathogens. After eating unsafe food, many of the people become ill, this AI prevents that from happening. Taking into consideration the global health program, the researchers arrived at this AI Program that uses world’s largest online retailer to help detect unsafe food items.

It follows an elaborate process. The developers of the AI linked the Amazon.com food reviews with the AI BERT(Bidirectional Encode Representation from Transformations). The 1,297,156 reviews from Amazon.com linked with the food products made it easy for the users.

Dr. Elaine Nsoesie, the assistant professor of global health at BUSPH informed that- “Health departments in the US are already using data from twitter, yelp and Google for monitoring foodborne diseases.”

The unsafe food products are a global food threat. And BERT is an intelligent way to deal with it. The WHO reports that about 600 million people suffered from illness because of contaminated food. BERT helps to track the unsafe food products and help generate food recalls.

Now the developers want to take the AI up a notch by adding not just reviews from Amazon, but product reviews from other websites and social media as well, like Twitter, Facebook. This way any product labelled foul or rotten , or anything bad gets the unsafe tag.

It isn’t the first time researchers used social media platforms for reviews. Many health organisations monitor food products by referring to the social media as well. Surveillance of food products is important and BERT is in the game to do play its role. The researchers said that BERT will stop any foodborne disease outbreaks and prevent illness and deaths.

Tech

My Main AI Turns Complex Workflows into Simple, Voice-Driven Conversations

Published

2 weeks ago

February 9, 2026

Jonathan Grilli

Photo Courtesy of My Main AI Inc.

By: Chelsie Carvajal

Managing modern workflows often means juggling dashboards, documents, and long email threads before a single task is complete. My Main AI Inc, an AI technology platform that spans text, image, voice, and video, has built a system where many of those steps can be handled through spoken or written prompts instead of manual clicks.

Turning Tasks Into Conversations

My Main AI groups several automation tools around a voice and chat layer so users can move through work by giving instructions rather than configuring each step. The platform lists AI Web Chat, AI Realtime Voice Chat, AI Speech‑to‑Text Pro, and AI Text‑to‑Speech engines from providers such as Lemonfox, Speechify, and IBM Watson, creating a loop between spoken input and generated output.

Speech‑to‑text tools support accurate transcription of audio content in multiple languages, with options to translate those recordings into English. That capability gives businesses a way to record meetings, calls, or field conversations, then convert the results into text that can be summarized, edited, and turned into documents or scripts. Text‑to‑speech tools, including multi‑voice synthesis with up to 20 voices and SSML controls, take written content in the other direction, producing voiceovers for training, marketing, and support material.

Chat assistants extend the same pattern to files and websites. My Main AI lists AI Chat PDF, AI Chat CSV, and AI Web Chat, which allow users to ask questions of documents or site content through natural language prompts. Instead of sorting through long reports, a user can query a file, receive concise answers, and then send follow‑up requests to generate emails, briefs, or summaries in the same environment.

From Content Pipelines to Voice‑Led Workflows

The company reports that its platform connects to more than 100 models from OpenAI, Anthropic, Google Gemini, xAI, Amazon Bedrock and Nova, Perplexity, DeepSeek, Flux, Nano Banana, Google Veo, and Stable Diffusion 3.5 Flash. Public materials state that these models support text, image, voice, and video generation in more than 53 languages, giving the voice‑driven tools reach across several regions and markets.

Content creation sits at the center of many of these workflows. My Main AI offers modules for blog posts, email campaigns, ad copy, social captions, video scripts, and structured frameworks such as AIDA, PAS, BAB, and PPPP. A user can dictate key points or paste a brief into the chat, receive draft text, ask the assistant to adjust tone or length, and then pass the result into voice synthesis to create a narrated version.

Visual tools fit into the same flow. DALL·E 3 HD, Stable Image Ultra, and an AI Photo Studio support image creation, product mock‑ups, background changes, and multiple variations from a single upload. AI Image to Video and text‑to‑video connections with engines such as Sora and Google Veo, alongside an AI Avatar feature labeled “coming soon,” make it possible to turn a spoken or typed brief into images, then into short clips that accompany the newly generated audio.

Why Businesses See Conversation as Infrastructure

Company data shared with partners cites more than 77,000 customers worldwide, annual revenue near 3 million dollars, and monthly revenue growth around 250,000 dollars, driven largely by subscription sales. The 49‑dollar plan is described as the best‑selling tier, with My Main AI presenting it as the entry point to the broader suite of conversational and automation tools.

Business‑oriented features show how these voice‑driven workflows connect to operations. The platform lists payment gateways such as AWDpay and Coinremitter, integrations with Stripe, Xero, HubSpot, and Mailchimp, and tools for SEO, finance analytics, dynamic pricing, wallet systems, and referrals. A manager can ask a chat assistant to pull figures, draft a report, and prepare customer messages, then move directly into sending campaigns or reviewing payments through linked services.

Company communications describe ongoing work on proprietary models, expanded training flows from text, PDFs, and URLs, and deeper tools for chat, analytics, and video. That roadmap suggests that My Main AI views conversation—spoken or typed—as a central control surface for complex workflows, with automation stepping in behind the scenes so users can focus on clear instructions rather than manual configuration.