For startups to succeed, they need to present themselves in a format that their audience prefers the most. However, today, the smartphone o...
For startups to succeed, they need to present themselves in a format that their audience prefers the most. However, today, the smartphone of an average individual is cluttered with apps of all genres. To navigate through this clutter, your app needs to be extremely resourceful and appealing. But how do you ensure that? Well, by leveraging the advanced technology of Machine Learning.
Speaking of Machine Learning, let statistics do the talking:
● In order to enhance their sales and marketing services, 40% of U.S organisations bank on Machine Learning.
● 76% of US companies were able to considerably exceed their sales target by leveraging machine learning.
● Product sales of European banks have gone up by 10% while their churn rates have been lowered by 20% by the courtesy of machine learning.
Now that you know how Machine Learning can transform businesses, here’s another truth: The era of complex apps has faded away. It has thus become a necessity for businesses of today to have simple mobile apps to connect with their customers. And that can be done by introducing Machine Learning in mobile app development.
The much-needed application stands out by analysing and learning users’ spending habits and transaction behaviour. Only a technology like Machine Learning can make that happen.
The app also offers actionable strategies to help users monitor and avoid extra spending. The more you use it, the better it grows into knowing you and thus goes on to offer more fruitful advice.
Some researchers decided to dive deep into this problem and that’s how Carat App was born.
Carat app monitors all kinds of activities on your phone by learning how you use your phone and then gives you personalised recommendations on how you can reduce power usage.
For instance, you’ll instantly receive notifications when any of your apps is broken and needs to be downloaded again. It will also tell you when your phone is due for a restart.
Determining the species of random trees is hard, Leaf snap makes it effortless by leveraging Machine Learning.
The app’s algorithm has learned to identify photos of leaves by being subjected to thousands of such photos. Like all other ML apps, it learns with time and practice. It keeps on growing as you use it and is an incredible tool for scientists.
Computer vision has faced a dramatic improvement in the last couple of years. Google photos can now tag your photos by recognizing what’s an image about. Aipoly Vision takes it even further. All you need to do is point your phone’s camera on any object and the app will tell you what it thinks it is.
It helps the visually challenged with simple day-to-day tasks. As it goes for all ML apps, the more you use it, the more efficient it gets at recognizing objects.
The app essentially takes away the burden of decision-making from you - especially when there are too many options at your disposal. By incorporating Machine Learning, ImprompDo learns about your personal preferences/inclinations, availability, budget, and transportation means. Depending on the result, it suggests specific activities for you to indulge in. The app then goes on to suggest plans to execute the activity you’ve picked. The best part is that it notifies your friends if there’s a change in schedule. The application ensures to maximise your productivity with the help of Machine Learning.
Tens of millions of real-life examples of emoticons usage are used to train neural networks. The more you use it, the better it gets and the more apt suggestions you receive.
This data is utilised by scientists to train ML algorithms that further aids in dementia research.
The app is carefully designed as a game. Each time you play it, your information and scores are used (anonymously) to better understand the human brain. It helps scientists diagnose dementia early and eventually find suitable treatment options.
Speaking of Machine Learning, let statistics do the talking:
● In order to enhance their sales and marketing services, 40% of U.S organisations bank on Machine Learning.
● 76% of US companies were able to considerably exceed their sales target by leveraging machine learning.
● Product sales of European banks have gone up by 10% while their churn rates have been lowered by 20% by the courtesy of machine learning.
Now that you know how Machine Learning can transform businesses, here’s another truth: The era of complex apps has faded away. It has thus become a necessity for businesses of today to have simple mobile apps to connect with their customers. And that can be done by introducing Machine Learning in mobile app development.
Top 7 Best Machine Learning (ML) Mobile App Ideas for Startups
In this article, we’ll be talking about 7 best Machine learning mobile apps that will give you ideas for your startup.1. Oval Money
In a world that we live in, financial literacy still remains a major challenge. Oval Money serves as a saviour by guiding the user to make informed financial decisions. It teaches you to effectively monitor your spendings and makes savings automatic.The much-needed application stands out by analysing and learning users’ spending habits and transaction behaviour. Only a technology like Machine Learning can make that happen.
The app also offers actionable strategies to help users monitor and avoid extra spending. The more you use it, the better it grows into knowing you and thus goes on to offer more fruitful advice.
2. Carat App
Let’s just accept that no matter how expensive our smartphones are, we’ll face battery-related issues at some point. There was no way you could escape it, until now.Some researchers decided to dive deep into this problem and that’s how Carat App was born.
Carat app monitors all kinds of activities on your phone by learning how you use your phone and then gives you personalised recommendations on how you can reduce power usage.
For instance, you’ll instantly receive notifications when any of your apps is broken and needs to be downloaded again. It will also tell you when your phone is due for a restart.
3. Leafsnap
We all have heard about the Shazam app that can hear any song and tell you its artist and title. Well, that’s exactly what LeafSnap does for leaves. It aims to help botanists by identifying the species of the tree from a leaf’s photograph.Determining the species of random trees is hard, Leaf snap makes it effortless by leveraging Machine Learning.
The app’s algorithm has learned to identify photos of leaves by being subjected to thousands of such photos. Like all other ML apps, it learns with time and practice. It keeps on growing as you use it and is an incredible tool for scientists.
4. Aipoly Vision
The best part about mobile apps is that they make our lives easy. Apps like Aipoly Vision are a great enabler for visually challenged individuals.Computer vision has faced a dramatic improvement in the last couple of years. Google photos can now tag your photos by recognizing what’s an image about. Aipoly Vision takes it even further. All you need to do is point your phone’s camera on any object and the app will tell you what it thinks it is.
It helps the visually challenged with simple day-to-day tasks. As it goes for all ML apps, the more you use it, the more efficient it gets at recognizing objects.
5. ImprompDo
ImprompDo is not your average planning app. This app is a great tool for someone who’s willing to squeeze multiple activities in a day but just cannot decide a plan of action.The app essentially takes away the burden of decision-making from you - especially when there are too many options at your disposal. By incorporating Machine Learning, ImprompDo learns about your personal preferences/inclinations, availability, budget, and transportation means. Depending on the result, it suggests specific activities for you to indulge in. The app then goes on to suggest plans to execute the activity you’ve picked. The best part is that it notifies your friends if there’s a change in schedule. The application ensures to maximise your productivity with the help of Machine Learning.
6. Dango
Dango is not a stand-alone app. It merges with different messengers to find perfect emoticons, stickers, and GIF for your text-based messages. It does so by understanding the context and meaning behind the words you type. How does the app do that? By utilising deep learning (used to train neural networks) which can understand the context of individual words and emotions behind them.Tens of millions of real-life examples of emoticons usage are used to train neural networks. The more you use it, the better it gets and the more apt suggestions you receive.
7. Sea Hero Quest
This one is different from the aforementioned apps with respect to how it uses machine learning. Sea Hero Quest gathers the required data from the users.This data is utilised by scientists to train ML algorithms that further aids in dementia research.
The app is carefully designed as a game. Each time you play it, your information and scores are used (anonymously) to better understand the human brain. It helps scientists diagnose dementia early and eventually find suitable treatment options.
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