Undoubtedly Machine Learning, as well as artificial intelligence, have significantly changed our world in the last few decades. Today it seems to be a breakthrough on how ML and AI applications are utilized for positive development to the point that it is hardly recognizable whether it is real or only being sensationalized. As Machine Learning and artificial intelligence are mimicking our brains, reading our minds or driving our cars there is a very thin difference lies between reality and smart applications.

Let’s dive deep and discuss the top four Machine Learning applications in everyday life:

Here are a few of the interesting and amazing ways how Machine Learning is impacting our everyday lives.

1. Making your mind on what to eat

Dine-in check it out? Chinese? What do you feel like eating today? Fortunately, Machine Learning can help you make this decision and find exactly what are you looking for. These simple forms of technology already exist in various restaurants review apps, maps, food delivery services that track what kind of food you might like to eat at what time of the week. They also make predictions about what you might need at your location, time of the day, history etc.

Eventually, this data is compiled and based on the reviews on various food sites. And text analysis is performed to find out that what kind of rice or noodles is popular in those regions. Hence, by combining all of this analysis with brands, regions and other ratings, smart applications of Machine Learning are advising you with the best variety of noodles you are looking for. Technology has improvised your life as well as your decisions just by analysing a few of the parameters like region, ratings or dining histories and more.

2. Moderating Social Media

You might be aware that one of the brand leaders like Facebook, has already turned to artificial intelligence for keeping its platform in check and also helping its people to the fullest. Artificial intelligence they have developed is playing a crucial role of human moderators today.

Facebook algorithm is already trained to recognize fact-check misinformation as well as its pictures. Also, a few of the prime features identify duplicate images that are often circulated by bots as Meme or infographics for trolling. This Machine Learning application has helped various social media platforms mitigate the risk of circulating false information and images that are often utilized for nefarious purposes. 

Hence, today artificial intelligence can detect any post which is similar or not the same as the banned content. In this way, Machine Learning applications today is making the work of the moderators easy to police the social media platforms.

3. To help fight Covid-19

Almost all industries starting from automotive manufacturers to retailers everyone has stepped up to help and contribute to get over the current crisis and the data science community is no exception here. Learning is completely instrumental in projecting and tracking the spread of the virus and, now that has helped in slowing down the spread as well.

Various stores and workplaces that are re-opening have integrated multiple Machine Learning algorithms that ensure employees and customers are safe in the environment. The existing security cameras are being equipped with artificial intelligence technologies that inform the managers when people are not properly maintaining social distancing or wearing masks in the office space.

Though few of the technologies already existed, AI and ML has advanced this technology by monitoring the safety gears for the safety measures if properly followed or not in various working environments which further helps in reducing the spread of the virus.

4. Helping in better translation

There must have been times when you have pulled out your phone for translating a phrase that you might not understand. You might have also searched on how to pronounce a word in the right way. Are you aware that translation and speech technology are nothing new and are available for years now?

Hence translating to related model languages is one thing and translating a 2500-year-old hand-carved language into modern English is the pain and that might be time-consuming as well as a task of an expert archaeologist. But with a touch of AI-powered computer vision can make this possible and automatic at the same time today as various ancient Persian cuneiform are translated by researchers with the help of which also ensure accuracy. Hence, this technology just does not work on ancient tablets but, this language could be translated even handwritten into cursive through a computer vision model.

Through the above-mentioned ways, ML has entered our daily lives and made it easy for us and some of us have might not notice it also. These are just a few examples of how Machine Learning got entwined in our daily lives and there will be even more in near future.

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