Artificial Intelligence Blog

How AI Can Help Us Beat Depression?


It's 2019 already and since the technology is breaking all the barriers, it has stepped on to the health industry. What we are trying to say is that nowadays, AI is being used to target human problems, especially those that involve complex emotional responses. To be honest, it is hard for any individual to imagine electronic psychologists, psychiatrists, and other health professionals. But thanks to App Development Companies, they exist now. “Emotional AI” these solutions are widely represented as both workplace enhancing tools and medical apps altogether. So, to understand more about this concept, we are going to discuss, how effective a computer can be at dealing with human emotional problems?

From Cold Tech to Emotion

We can all admit to the fact that we all have been dreaming about intelligent robots for a long time. Well, the history of robots goes back to the year 1769. But we never thought that such a rustic machine could ever detect human emotions and react to them as well.

Yet here we are almost two and a half centuries later.

Back in the year 2018, Vice President of Gartner, Annette Zimmerman stated: “by 2022, your smartphone device will know more about your emotional state than yourself.”

How Does Emotional AI even Work?

Emotional AI software has to detect what a human is feeling and try to classify those solutions. For Machine Learning detection and classification are two typical tasks that it has to perform quite often. Now the only question that remains is what kind of data to analyze. Well, there are three main data sources for emotional AI: facial expression, text, and speech.

Now, let’s dive deep into these data sources:

Facial Expression

By analyzing a collection of key landmarks on the face, deep learning can determine exactly the kind of emotion a person is feeling.

By this time, the technology is said to detect seven basic emotions: anger, fear, joy, surprise, contempt, and disgust with a reasonable amount of consistency.


You must’ve seen speech recognition in numerous action movies, and while watching those sequences, you must have landed on a question “how does that work?” well; we are here to tell you that.

Speech recognition works by detecting a number of features in a voice, for instance; tone, tempo, and intonation. Once these features are determined, the system starts evaluating them to determine which emotion is being showcased.

Quite evidently this works just like us when we establish and determine the emotion by just hearing the voice. For instance, while having a conversation over the phone, we can feel when the other person is upset or happy.


With our addiction towards smartphones, most of the time we prefer texting over voice calls. Being such a critical factor, App developers are now breaking grounds to establish AI in detecting emotion even from just a few characters.

Of course we all the difference between :) and :( or “I am so happy to meet you” and “I AM SO HAPPY TO MEET YOU”, now keeping emojis and capital letters aside, how can someone truly know the meaning behind the other person’s words, while texting?

The easiest and straightforward way to understand this feature is that we all know and use certain words more commonly when we are experiencing a particular emotional state. Emotional AI uses this knowledge to analyze the hidden emotional meaning of a text.

Emotional AI in Focus


Have you ever heard of Yuval Noah Harari? Well, he is a philosopher, historian, and the author of a book Homo Deus in which he talked about the advancements in artificial neutral networks and their potential to transform human nature in the future.

Harari compared human evolution than that of AI. He described artificial neural networks as nothing more than inorganic forms of our organic thinking processes. Moreover, he highlights the weakness of such systems, as they function based on particular data sets, which are known to have flaws as humans have created them.

Let’s take an example of Microsoft’s Tay. It was basically a bot designed to learn from those who interacted with it online and it generates social media messages.  

Now let’s talk about some apps and websites that use Emotion AI to the best of its ability:


This application is known to be providing linked users with licensed therapists to provide support 24/7. Initially, the TalkSpace program was designed to function exactly as the name suggests as it is a space to talk online. Later on, the system’s analysts discovered that around 80% of the users were just using the program’s text feature.

Since the program lets you text a therapist, the app’s clients become more comfortable talking about things they would never speak about in face-to-face conversation.


This is totally based on the concept of Cognitive-behavioral Therapy (CBT). This program seeks to treat depression by mixing up the clinical experience of mental health professionals, the experience of users and backed it up with a dose of AI.

Being focused on the motive of accessibility, the app is free and let the users connect with a bot that employs a series of CBT techniques designed to improve emotional health. Since machine learning algorithms are involved, the responses that users get are somewhat precise and to the point.

Emotional AI in the Workplace

Being emotionally stabled isn’t just a personal need. Emotional AI can help companies and their employees in resolving a number of work-based issues that can impact mental health and cause depression.


It is a fact and you can relate that many people out there feel uncomfortable reporting workplace discrimination, like most of the time victims feel they are somewhat at fault.

Spot works by recording and time stamping the report of abuse using a question-asking bot based on AI tech. it allows an individual/reporter to have a clear record of what exactly happened, and most importantly the time to choose on which they want to report it.


Have you ever come across a feeling that things are going the wrong way? Or, you just can’t land that job? Well in such scenarios, you can rely on Ixy. It is an AI-based app that analyzes text and e-mail conversations to tell its users how they are presenting themselves to others.

It provides helpful real-time feedback to help the users to adjust their communication and avoid another rejection letter.


Since Machine Learning and AI are on the rise, many are discussing their pros and cons, and to be honest it is quite justified as technology does have drawbacks. As a matter of fact, scientists don’t really apprehend these terms than sci-fi geeks out there.

The point is you should know when to stop relying on technology and when to use it for your own welfare.

Final Thoughts

We talked about AI and machine learning, and it is quite common that you must’ve got curious about this technology. In case you want to make an app just like the ones we talked about earlier, then heading down to Fluper might be great idea. Being a Top-Rated App Development Company, Fluper will be really happy to help you out in the best possible way.

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