Artificial Intelligence shapes a lot of things we do in our day to day lives. The Netflix show you’re binge-watching while on quarantine, the compulsive purchases you make on Amazon, and even the things you search on the internet come to us courtesy of AI.
Investments in AI and its key subset – machine learning, are increasing more than ever. The total global investments by private businesses on AI accumulated to a total of $70 Billion in 2019. A survey by McKinsey reported that 82% of enterprises using AI and machine learning across their organizational activities have received a significant return of investment.
Machine learning is easily one of the most funded and applied subsets of Artificial Intelligence. We’ve already seen loads of innovative ideas made into reality using machine learning.
Source: Google
But don’t you think there are a lot of other machine learning app ideas yet to make it to the market? I certainly feel so. If you’re a curious mind wondering about the possibilities enabled with the use of machine learning, this post is for you.
I will list some of the best ideas for machine learning ideas that we haven’t seen in the market yet. I will also list a few other machine learning app ideas that are already being worked upon by a few companies – yet have a gap in their market that maybe your business could fill.
This list of best machine learning app ideas is divided on the basis of industry. So you can explore all kinds of AI app ideas across your preferred industry verticals.
Source: Google
1) Best Machine Learning App Ideas in Healthcare Industry
1. Machine Learning Application for alerting about Potential Disease Outbreaks
Chances are, many of you who will read this have already experienced the effects of global tension amid a pandemic. The COVID-19 outbreak is said to have started in December 2019, when a lot of patients were getting admitted to hospitals in China with cases of pneumonia. There was a sudden explosion in Pneumonia cases which initiated the suspicions about a possible outbreak of an unknown disease.
But these unprecedented cases of pneumonia were only recognized when a doctor saw the pattern in hospital records. By that time, it was already too late.
Could this outbreak have been recognized earlier than it actually was? Yes, it definitely could have been. But for that to happen, the hospital would have needed technological assistance.
What if hospitals at the Wuhan city in China had an application that keeps records of all cases, analyses data through machine learning algorithms, and lets its users know if there’s an unusual pattern of cases?. Had there been such machine learning applications in place, the COVID-19 outbreak would have gotten detected much earlier and helped the Chinese government prevent it from spreading as much as it did eventually.
The novel coronavirus has taught us an important lesson. This machine learning application idea I just suggested could help hospitals and governments identify disease outbreaks in record time and help them take immediate measures for prevention.
Requirements for an AI-based Disease Outbreak Alerting Machine learning Application
- Data on all known diseases, their symptoms, causes, and all essential precautions for preventing them. This data is meant to be fed to the machine learning algorithm for its functioning. The ML algorithm will eventually use this data to detect unusual patterns in hospital records.
- A digital dashboard that keeps, edits, and maintains records of all registered cases in the hospital, the diseases of diagnosed/admitted patients, patient demographic details such as age, sex, residence, etc.
- A cybersecurity system in place for anonymizing user data (so no individual could be directly traced through data from their records unless their data is asked for by higher authorities such as the government).
2. Machine learning Healthcare app for Personalized Treatment Recommendation
You must have been in a situation where you’re suffering from minor health problems, and need a quick dose of some medicine that could help take away the discomfort. The medicines to such minor problems could be in the form of painkillers, tablets, syrup, or perhaps even an injection.
But it is always advised to never take medicine without a prescription from a doctor, even if it is for something as minor as a fever, a cold or a headache.
What if there was a machine learning healthcare application that could use measurements of your vitals and potential symptoms, along with data from other illness-struck people to suggest medicines you could take for self-treatment?
It is highly recommended that you go to a doctor if possible when facing illnesses. But in cases where a doctor or a hospital is not accessible nearby, an ML application to understand your symptoms and suggest required treatments would be a life-saving boon.
Requirements for a machine learning application idea that suggests personalized treatment for illnesses
- This machine learning application would require data about medicines, treatment methods for all kinds of minor illnesses, along with data about their dosage, and possible side-effects.
- The greatest advantage of machine learning applications is that their quality of information could be improved with user feedback. Users who are suggested treatments can report feedback on how the treatment helped them recover. They can also provide data about their allergies, among other personal weaknesses. This data will help in improving the algorithm and deliver more personalized treatment suggestions.
- As in the case of the previous machine learning app idea, such an app would require a heavy investment to ensure that user data remains anonymous.
Give A Read:9 BEST ANDROID APP IDEAS TO PICK IN 2020
2) Best Machine Learning App Ideas in Retail & eCommerce Industry
1. Personalized Chatbot for eCommerce websites
Chatbots go beyond machine learning and use another subset of AI known as Neural Language Processing (NLP). These are machine learning algorithms that basically help it imitate human conversations.
To date, we have mostly seen chatbots used for the purpose of customer services. They are even used as a virtual assistant if you are using Amazon’s Alexa, Apple’s Siri or Google’s Assistant.
But is it hard to imagine a personalized chatbot that uses machine learning algorithms and data to help customers make better buying choices? Yes, there are already recommendation engines on platforms such as Amazon that already do a good job in recommending products to buyers. In fact, personalized recommendations drive 35% of Amazon’s overall sales.
But this idea goes beyond product recommendations. You see, a chatbot using ML algorithms can also ask what buyers are looking for. Then, based on the data of other buyers of the platform, and ML chatbot can help someone compare two different products of similar categories.
For example, let’s say that a buyer is looking for a smartphone on an eCommerce website. This website has a machine learning chatbot that asks users what they are looking for. This is different from searching, as the chatbot understands what a buyer needs specifically. Say, this buyer wants a smartphone with 6GB RAM. The chatbot shows the buyer all models with 6GB RAM.
However, the buyer can’t just choose any random phone. They need to know the differences. This is where he/she can ask the chatbot about it. The chatbot then goes through reviews and tells the user how two different models of smartphones having similar features are different from each other.
Requirements for a Personalized Chatbot Application
- The features of this chatbot app ideas require it to have information about a product (to compare it with another). Data from user comments could be utilized by the chatbot to optimize its algorithm.
- In an eCommerce website that uses data from buyer comments on products, the comment interface should be designed in such a way that it makes it easier for the algorithm to understand buyer context.
- The development of an NLP engine would be essential for the ML chatbot to communicate with human buyers smoothly.
2. Personalized Recommendation app – For physical Retail Stores!
Personalized recommendation engines are highly proven ways to increase sales for eCommerce and content streaming platforms. But what if you could utilize such machine-learning powered recommendation engines for the retail world outside the internet.
Let’s say you are a retail shop owner whose shop has a decent footfall of customers daily. As an experienced shopkeeper, you know what items most of your customers want and work on keeping the stocks of such items full. But what if your store had a machine learning app to be used by your customers for billing purchases made from your store.
The purchases made through the data will create enough data for an ML algorithm to determine the products that have the highest demand. Additionally, this algorithm could understand user preferences and alert them about price drops and new offers at the shop directly from the app!
Requirements for Retail Store optimized ML Recommendation app
- A retail store application powered by machine learning would require a user registration system.
- Since billing would be done through this app, we would also require features to enable quick and easy invoicing.
- There needs to be an arrangement for data collection and its security, for maximum protection of sensitive user data.
Give A Read: APP IDEAS USING REACT NATIVE TECHNOLOGY
3) Best Machine Learning App Ideas in the Travel & Hospitality Industry
Source: Google
1. Intelligent Travel Assistant App
An app that helps users know more about foreign places. Collects data from all tourists and lets them share their knowledge on the platform. Like, if a couple of age 35 visited a place and marked romantic places, then the app’s ML algorithm suggests the same type of places to another couple of the same age group when they come to visit this place.
This sort of application will definitely help the audience in identifying famous places on the basis of various categories. If in this sort of application places feedback options will be included then it will be easier to analyze the various places in a better way.
We all know that when we plan a trip then our first task is to identify the famous tourist places. For example; If I am planning a trip to Goa then firstly I will check which Goa beach has a high visitor rate and according to that, I will visit Goa’s famous places. Analyzing these sorts of things can also be possible by utilizing the ML in the applications.
Requirements For Intelligent Travel Assistant App
- Tourists’ data on the basis of traveling is the very first thing we need as this can only help developers to identify the components to be added in an application.
- In this sort of application, one feedback page can really help you in analyzing and gathering the customer’s data. In the feedback page, you can add places rating, commenting, suggestion, etc options. This section should be designed in such a way that from here one can collect and analyze the data in an easy way.
2. Group Touring app
This app lets users find other groups of people interested in going to similar places, and who also happens to live nearby. Uses machine learning algorithms for matching. This will help you in planning the trip with a number of people.
This sort of application can help the one in managing all things in a best possible way, from these sorts of application traveling agents and other popular traveling companies are added that helps the customers in planning the trip by booking tickets, hotel, etc.
Requirements For Group Touring Applications
- Analyzing and recording people’s interests so that groups can be clustered. For this, we need to develop the MI integrated section that can help you to record and analyze the data.
- There needs to be an arrangement for data security, for maximum protection of sensitive user data.
Give A Read: TOP 10 MOBILE APP DEVELOPMENT TRENDS AND IDEAS FOR 2020
4) Best Machine Learning App Ideas in Banking & Financial Services
Source: Google
1. Financial Goal Tracker
This app collects user data about their money spending habits. It allows users to set a defined financial goal for themselves. Analyses world economic data, users options for earning more money, and lets them know how they can reach their financial goal.
This goal tracker can help the people in reaching the financial goal at a time and will also help in planning the things in a synchronized way. If you are planning for shopping then by using this app you can analyze your money spending limit as per the monthly tasks.
Requirements For Financial Goal Tracker Applications
- In order to track the data, you need to use the MI technique as this can aid in saving and analyzing the information.
- Financial data is such a personal and vital thing so it is really important to secure this sort of information and this can be only done by making use of a secure cross-platform.
2. Fee Calculator
A machine learning app that collects data from schools, institutions and all course providers to let parents and students know about the expenses in pursuing certain educational courses.
This helps parents to plan out the monthly budget and to analyze the money related things. These things can be only possible by using the ML as without this an application will be not able to collect and analyze the data.
Requirements For Fee Calculator Applications
- In this, you need to develop the calculator for estimating and calculating the fees and this will be possible by ML.
- To build the secure platform you need to set up the security configuration.
- In this sort of app, you need to develop a login panel so that no unwanted activities can be performed by the other users.
Give A Read: TOP 10 WEB APPLICATION IDEAS FOR A SUCCESSFUL ONLINE BUSINESS
5) Best Machine Learning App Ideas in ISVs and Product service companies
1. Intelligent Project Development Quote application
The first thing a lot of business clients often do with ISVs and software product & service companies is to ask their quotes for a particular project. Using ML, sales teams of such companies can help their clients get an early estimation of project costs made through an analysis of patterns in rates of the company’s previously completed projects.
Requirements For Intelligent Project Development Quote application
- In this application, the analysis system is integrated as this can help in analyzing the data and this can be done by using Machine Learning.
- You need to add chatbots in this application as this will help you in interacting with other customers.
Give A Read: 20 BEST WEB APP IDEAS FOR YOUR STARTUP BUSINESS
6) Best Machine Learning App Ideas in Education & eLearning
1. Personalized eLearning portal for students
This eLearning uses machine learning algorithms to prepare an appropriate time table of subjects for a student to learn online. In this way, the lessons are optimized in a pattern that lets a student learn the most.
This sort of application eases the tasks of parents and helps students to save time by building the study plan. This type of app can be developed by utilizing AI techniques. This application allows you to search the top eLearning platforms.
Requirements of Personalized eLearning portal
- In this application, you need to add or suggest the different study modules and this can be added by examining the student’s needs.
- By using Machine Learning you can collect and analyze the student data and searches.
- It is important to add a search bar in this sort of application as this helps in saving time.
Give A Read: 30 SIMPLE APP IDEAS FOR STARTUPS (AI, ML, BLOCKCHAIN, AR/VR)
7) Best Machine Learning App Ideas in Digital & Marketing Agencies
1. Cyber attacks and Data hacks analyzer application
This sort of application helps in analyzing suspicious activities and also allows you to secure the data in the best possible way. By utilizing machine learning you can analyze the data and this will help you in securing the data from hackers.
With the help of AI, cyber-attacks can be examined in a very easy way that’s why AI techniques are used in this sort of application. These apps are utilized by different companies to secure their data and website applications.
Requirements for Cyber Attacks and Data hacks analyzer application
- In this application, you need to introduce machine learning as this can help in analyzing and examining the outsource data.
- You need to add the feature that can detect the unsafe and outsource link as this thing can help you in preventing cyber attacks.
Give A Read:40 BEST APP IDEAS FOR THE STARTUPS!
8) Best Machine Learning App Ideas in Media & Entertainment
1. Customer sentiment Analysis Tool
This tool allows you to record the customer’s interest and for analyzing the customer’s rate of interest. This tool is mainly used by the media and entertainment sector as the recorded data really helps this sector to make more add ons and to improve the services.
In this type of application, the data collection and analyzing process is done by Machine Learning. The entertainment and media sector utilizes high-grade technologies to provide customer’s best outcome and this can be only possible when they will use various AI techniques.
Requirements For Customer sentiment analysis tool
- In this type of application, you need to add a feature that records and analyzes the data and for this, you have to use Machine Learning.
- You need to use the security feature in this tool as this will help in securing the collected data.
Give A Read: HOW TO MAKE YOUR ANDROID APP VISUALLY RICH & SPLENDID?
Conclusion
This blog will help you in knowing the best Machine Learning App Ideas that are utilized in various sectors such as Healthcare, eCommerce, Travel & Hospitality, Banking & Financial, and so on. By using ML you can predict customer’s needs, estimate data, detect spam, improve security, and much more.
I hope this blog helped you in analyzing the best Machine Learning App Ideas. If you are having any sort of doubt or want to know more about AI then just get in touch with us by dropping a comment.
