Mrinal Here!

As a high-schooler, it’s not everyday you get the opportunity to work with a startup giant. I had heard of Urban Company, and its great engineering culture and commitment to its partners, and reached out for an internship. To my surprise, they accepted, and I was thrilled to start as a data science intern.

When I took my first step into the office in April 2022, I was instantly greeted by the smell of fresh coffee and an upbeat tune wafting through the cool air. I could hardly sit still with excitement when I was introduced to my mentor and partner, Karan Kapoor. We were also introduced to a very interesting problem statement: to detect positive customer reviews on Twitter to show on the partner’s app. By doing so, we aimed to encourage and motivate partners, and increase their commitment towards UC. One of the problems we faced was sparsity. Customer appreciation comprises just 1% of all UC-related tweets. Platforms like Twitter are often used for escalation of negative experiences, rather than recognising good service. Our enthusiasm unaffected, we plunged into the unknown.

At first, we thought that it was a trivial problem, nothing more than a simple application of sentiment classification. But, it proved to be far more challenging than that. The problem was that not all positive tweets were customer appreciation. Some were announcements or updates.

Read more about how we solved the engineering challenges here!

In the end, we attained a test-set accuracy of about 98.5%. We also overcame the sparsity of customer appreciation (1% of UC tweets). Our hard work of obtaining a dataset, writing an algorithm to label the dataset, and then training a model on the dataset was worth it. My experience at UC was very enriching, with a great problem statement and supportive team. I now have a much better understanding of NLP models and unsupervised learning. Throughout the whole journey, I also learnt to break bigger problems into steps, and how to work better in a team. Thank you so much UC, and my mentors Karan Kapoor and Rishabh Singh, for the wonderful opportunity!

Melding a human and a machine has been a sci-fi craze for as long as one can remember. Shining metal alongside smooth skin has inspired several individuals, and led to the creation of films such as Terminator and Robocop and books like C179. Cyborgs will be very much a part of our near future, however, the idea provokes several questions, which have deeper ethical and philosophic connotations.

While it may seem improbable, cyborgs are closer than you think. In fact, we already carry tiny, powerful devices capable of tracking our locations, our communication, and our entertainment preferences. These devices are, of course, cell phones. Think about it. A large portion of daily life is tethered to our mobiles, and revolves around them. A visitor from Mars could think that they are part of a human’s anatomy at first. Although a cyborg’s capabilities would not be too different from those of a smartphone, they will have a much deeper impact on society, and call for laws relating to machines, and their rights.

Will a machine have the same rights as a human? It seems a laughable query now, but will be a topic of intense discussion in the future. So far, androids are slaves of humans, and many would very much like to keep it that way. But development in AI and robot consciousness says otherwise. For example, a robot named Sophia has been granted citizenship by Saudi Arabia, and has complex opinions on culture, the world and humanity. Though it seems trivial, it poses impactful questions. Is a machine equal to a human? Is the life of a human more precious than that of a machine?

A possible future which has to be entertained is that of robot bodies. A human brain, controlling an automaton. It will eliminate most diseases of the body, with the brain being the only unprotected organ. Robot bodies would also pave the way for more enhancements, such as night vision, and increased strength. There are more whimsical aspects of such a scenario. Instead of eating food and drinking water, one would use a charging plug, toilets would be all but extinct and hospitals would be replaced by mechanics. While it does sound like a good idea, consider the cons of this future. A human body would be vulnerable to viruses and hacking. A robot body would never die of natural causes, but it would lead to problems related to overcrowding. A philosophical dilemma, the Ship of Theseus also enters the picture here. It states that if every component of an object is replaced, is it still the same object? 

In a more literal vein, cyborgs are synonymous with replaced body parts. Prosthetics have been around for a long time. But a recent breakthrough has rendered them tremendously effective. False limbs can now be equipped with the sense of touch. This is of paramount importance to the hands for gripping things. The actions involved in holding an egg are very different compared to a brick, and now can be accurately replicated in prosthetics. Apart from prosthetics, implants and devices such as pacemakers are good examples of machines in our bodies. Millions of people live with hip and knee replacements, and millions more with pacemakers. What’s more, these machines do not feel out of the ordinary at all. For all we know, one day everyone will have artificial lungs, hearts and kidneys.

The thought of cyborgs thus explores a number of themes and ideas. It has both direct and indirect connotations, and it well may be the fate of humanity. The world-famous psychologist BF Skinner sums it up very well: “The real question is not whether machines think, but whether men do. The mystery that surrounds a thinking machine already surrounds a thinking man.”

Humanity has faced a number of world threatening events throughout existence, like wars, famine, and natural calamities. However, the novel coronavirus trumps it all. It is an extremely contagious, hard to detect, and often lethal viral infection. It causes COVID-19 (COronaVirus Disease-2019).

The term ‘coronavirus’ refers to 2 strains of virus, each with a similar arrangement of RNA. It originated in bats, and subsequently passed on to humans, in China. Due to the interspecies jump, the virus has undergone mutation, making it even more deadly. It is biologically similar to the influenza virus, thus has similar symptoms like coughing, fever and shortness of breath. Current hotbeds of the virus are Italy, Spain, France, Iran, the USA and Germany.

The coronavirus’ most deadly attribute is its contagiousness. It can spread from person to person by direct and indirect contact, and by droplet infection. As it is very infectious, the spread of the virus is exponential. This causes a dramatic rise in the number of cases over a short time period. Statistics further prove this fact. The first lakh COVID cases were infected in 67 days. The next lakh were infected in just 11 days, and the next in 4 days. So, the virus spreads faster and faster.

Another problem is that of ‘silent spreaders’. A fraction of the people with the virus exhibit no symptoms and are called silent spreaders. Thus the virus isn’t dangerous for them but they can spread it to more vulnerable people. A large percentage of COVID cases have been attributed to these people. Furthermore, it takes more than a week for symptoms to develop normally as well, during which time the carrier can still spread the disease.

The death rate of COVID-19 is around 4.5%. Most people are able to fight the virus without any special care. Susceptible groups are elderly people, small kids, and people with pre-existing health conditions like diabetes. However, this is not the major issue. Around a fifth of the people with the disease require intense care, and need to be put on ventilators. If they do not get this crucial treatment, they will die. So, if the virus is allowed to spread unchecked, hospitals will easily get overloaded, and will run out of medical supplies like ventilators, ICU beds, masks, etc.

This is the situation in Italy and Spain. As they didn’t combat the virus in its nascent stage, it grew unchecked, and has now filled hospitals up to capacity. In fact, the situation is so dire that it is difficult for people over 60 to get treated, as medical resources are being prioritised for younger people.

Now, many questions arise: How is it possible to fight this super-virus? Is humanity doomed? Well, due to its nature, it is exceedingly probable that over 50% of the world’s population will get infected by COVID-19. Moreover, there is no vaccine or cure for the virus currently. To prevent deaths, we must ‘flatten the curve’. This means that we need to reduce the rate of infection so that hospitals can cope with the number of patients. To arrest the spread of coronavirus, we must practice social distancing. We must not step out of our houses (isolation), and only do so for buying essential items while wearing masks. Potentially infected people are quarantined for a minimum of 14 days. Also, all large gatherings have been banned, and flights and trains cancelled. The virus has a remarkable property of being able to live on different surfaces for days on end. Thus public places must be sprayed with disinfectant regularly. Hands must be washed often with soap for 20 seconds, as the virus’ thick outer wall cannot be broken by clean water by itself. If it is not possible to wash hands, use an alcohol based sanitiser.

We must show resolve and patience in dealing with the novel coronavirus. Only by practicing isolation and social distancing we can emerge victorious from this humanitarian disaster. The virus has far reaching effects, and has already wiped out trillions of dollars in the global markets. Some suggest that it may even lead to a restructuring of the world order, with countries who are able to fight the disease at the top. Due to the economic, political and social ramifications of COVID-19, the world as we know it will change.

“Are magic and technology really so different?” This is a question which I have been trying to answer for a long time. For as long as I could remember, new advancements in robotics and computers have fascinated me. I wanted to innovate, just like Elon Musk and Boston Dynamics. I wanted to innovate in the fields of AI and robotics. I thought, and still think in wonder, “How do people even make machines like that!” So, I started learning about it, especially machine learning, one of the most useful branches of AI.

Machine learning is divided into two fields: supervised and unsupervised. Supervised learning is where the answers (labels) are given with the data, so the computer can learn from the correct answers. For example, classifying dogs and cats based on labelled images is supervised. Unsupervised learning has no labels. Example for this is Google News. It collects different news articles and clusters them based on the topic.

I decided to start with supervised learning. The basic model for a machine learning program has an activation function, which is applied to  (weights*input + biases), where the weights and biases are variables. The job of the model is to find the best possible values for weights and biases. This may seem simple, but complex networks can have over 2 lakh variables. To find out how well the model has performed, the accuracy and loss are calculated with the validation data. Loss is a measure of how good the model has done. The lower the loss is, the better. An optimiser then tweaks the variables, to try and increase accuracy and reduce loss.

The most simple network is linear regression. Try this out; I generated my own dataset and used TensorBoard for visualisation of the model. The equation outputs a line (weights*input + bias). The line shows the data trend, and can predict the output for any data input. When you are starting with machine learning, python 3 is the way to go. Compared to java and C based languages, the learning curve is very less. It also has a rich support of machine learning libraries like tensorflow, keras, scikitlearn, etc. I use tensorflow for all my projects.

Next comes logistic regression, where an activation function (either softmax or sigmoid) is applied. Sigmoid is used for binary classification and Softmax is used for multi-class classification. These functions make more complex decision boundaries, rather than just a line and help in accurate classification. I generated my own data for binary classification with logistic regression. For multi-class classification I used the Iris dataset.

Now come neural nets. They consist of layers of logistic regressions, where the output of one layer is the input to the next. Each layer consist of a fixed number of neurons, each of which does a weighted sum of all the neurons in the layer above it. A new activation function called relu is used for these middle layers or hidden layers. A good problem to get hands on experience with this is the Titanic Problem. Based on data about passengers such as fare, cabin, age, family, etc. you have to predict whether the passenger will survive or not.

For problems where the data is not in the form of images, simple neural nets work great. But, networks called Convolutional Neural Networks (CNNs) work better for images. It is because neural nets require the data to be flattened into 1 dimension. If you flatten images, we lose the curves and shapes. CNN do not flatten the images, rather, every layer consists of several sub-layers. The neurons in every sub-layer do a weighted sum of only a small portion of the points above it with the same weights. So, CNNs have a large number of neurons with approximately the same number of variables as simple neural nets.

A big part of machine learning is data cleaning or wrangling. This is a necessary step, because data may be in the form of words, images, or even sounds. But a computer only works with numbers. There may be unnecessary fields which can throw off the model. So we must clean the data. In fact, many problems depend on the quality of data, and it is a quintessential step in machine learning.

After reading this, you may start to panic. All the terms like ‘sigmoid’ and ‘weighted sum’ can be very intimidating. When you see the formulae, they seem more so. However, they have simple meanings. To tackle this problem, I focused on the concept and the intuition of the formulae and equations, rather than cramming the exact derivations.

My first AI project with CNNs was the classification of hand-written digits using MNIST dataset. This is a great project to start with as it fairly easy. Also, it is great for exploring different concepts of machine learning because it doesn’t involve much data cleaning, so you can focus on the neural net. There is not much scope for overfitting either, which I will discuss later. To get more practice, I started finding problems on kaggle and tried my hand at those. Each had its own complications. With every problem I solved, I took another step into the field of AI. With each, I discovered there is no end to AI. There are so many subfields and techniques, and more are being discovered everyday.

After solving these problems, I found that overfitting is a pressing issue. It means that the model is getting used to specific data points, rather than focusing on the overall trend. This can cause huge loss in testing, and is the most insistent problem in modern day machine learning. To address this issue, algorithms called regularisation have to be applied. They control the rate at which the model learns. One of this is called learning rate decay. It reduces the learning rate of the model over time. Dropout is another popular method. It removes some neurons from the network over time, controlling overfitting. Regularisation parameters called L1 and L2 regularisation can be added. They add a penalty to the loss function every time the program makes a mistake. One of the best regularising methods is batch normalisation. It tweaks the data at every layer of the network, adding some noise and giving more control to individual layers rather than the network as a whole.

I then decided that I wanted to do an internship in the field of AI to expand my horizon.  I got one at boxx.ai, a small company which provides AI solutions to small online retail stores. My task was to output all the features of some clothing given its picture. It was a problem which required two machine learning algorithms to be made, each of a different kind. One was multi-class classification, to predict what type of clothe it is, eg, T-shirt, jeans, dress, etc. It means, there is only one correct answer. This was like other problems I’d done before but much harder. The next network was multi-label classification, meaning there can be more than one correct answer, eg pattern (floral, polka, etc), colour, texture and material, etc. My mentor at boxx.ai never left my side, and introduced me to many new concepts. Here is when I learnt about Google Colab and use of pre-trained models.

Finally, after fixing countless bugs, and clearing all hurdles, I was able to proudly report high accuracy rates in the program. It felt very rewarding to work on a real-world problem in an office environment. Internships are a great way to get introduced to office work culture, and to get hands-on experience working on actual assignments. It is where you get to apply all the skills learnt, and find out how much harder everything is in the real world, rather than on paper.

An important thing I realised is how to go about tough problems. The first thing is to break it down to small achievable goals. This ensures the number of bugs isn’t overwhelming. If you are stuck at one task for a long time, try looking at it from a different angle. Many a times, one line of code in machine learning is fine by itself, but causes issues for other functions. If this still doesn’t work, take a break. Do something relaxing, or come back to the problem tomorrow. I have found that answers often hit me in an epiphany when I return to the problem with a fresh mind.

So far, this journey has been staggering. Just six months ago, I would have thought problems like these impossible. AI has opened up my mind to new concepts, new ideas, and changed my lines of thought. Solving any new problem, conquering any new frontier makes us see the world through a different lens. I feel that this is a change for the better, and I will continue to expand my imagination by challenging it.

Have you ever gazed at the stars, wondering if we are alone? Just because we haven’t made contact with them, it doesn’t mean that extraterrestrial beings do not exist.

There are over 100 billion planets in the Milky Way alone, and around 40 billion of them are habitable. And that is just the Milky Way. There are about 100 billion galaxies in the universe. That means there are about 4000000000000000000 (that’s 4 with 18 zeroes) habitable planets in the Universe. Plus, water has been discovered on many planets and moons. There’s a pretty high chance that at least one of them has some life.

Humans have sent out radio messages in the hope of contacting aliens. Though we have not got an answer yet, it doesn’t mean that we are alone. Radio messages can take up to 100,000 years to travel across the galaxy, and the same to return. Also, messages encounter a lot of interference along the way and pick up a lot of noise. So, it is possible we haven’t made contact, because either the message or reply got lost.

The first humans walked on Earth about 7 million years ago. The age of the universe is about 14 billion years. Human civilization is quite new, in geological terms. There is a high chance that if aliens do exist, they are older and more advanced than humans. It is possible that aliens have communication technologies unknown to us and have tried to contact us or consider us inferior.

Though one could argue that there is no concrete proof, there are many eyewitness accounts which describe alien encounters that seem real enough. For example, Bob Lazar is a scientist who claims he was asked to reverse engineer a gravity-thrust system on an alien vessel by the US government. His home has been raided multiple times by the FBI, and he has passed every lie detector test while telling his remarkable tale.

But we are making progress. For example, the USA has declassified some footage of ‘an unknown aircraft’ with speed capabilities beyond any vehicle known on Earth. Arthur C Clarke, renowned author, puts it very aptly: “Two possibilities exist: either we are alone in the Universe or we are not. Both are equally terrifying.”

I visited the Bay area in the USA during my summer vacation. Of course, we visited the famous Golden Gate Park in San Fransisco.

The Park is very huge with separate areas for running, picnics, golf, etc. Several artificial lakes are dotted around in the park. Some are for sailing toy boats, some are for paddle boating and yet others are just for relaxing by the water. The park even has a bison paddock. It is a vast expanse of grass and woods where the huge animals roam around freely. An electric fence surrounds the paddock.

There is a Japanese garden in the park too. It is a neat area with a small brook and carefully trimmed trees and bushes with muted colors. It is very soothing. Roads interlace the Golden Gate Park, making it easily accessible by car. Although, it isn’t surprising that the parking is always full! A separate lane for bicycles, skateboards, skates, and other vehicles is present on all roads.The Golden Gate Park is very friendly towards runners. Trails traverse the length and breadth of the Park.

If you enjoy other sports, you can still visit the Park. It has soccer and basketball play areas. The park is also very close to the famous ocean beach. This area is frequented by people visiting the beach chalet, a popular restaurant on the beach end of the park. There are also 2 old-fashioned windmills here.

The crowning glory of the Golden gate park however, is on the other side. the famous California Academy of Sciences  and the de Young Museum of Fine Arts are found here. The 9 story tall observation deck of the de Young Museum dominates the area. A gorgeous view of south San Fransisco can be seen from the deck. There is also an open air concert stage where a band performs once a week.

Golden Gate park is truly the jewel of San Fransisco. I envy the people who live around here. It attracts tourists and residents alike, and is engaging for all age groups. Whether you want to unwind with your family, or take an intense workout, the Golden Gat park is the place to go.

Recently, I took a trip to the California Academy of Sciences along with my family. despite the name, it is actually a natural history museum containing hundreds of specimens. It is located conveniently in Golden gat Park, South San Fransisco. The academy is a mind boggling place. It has an aquarium, a rainforest, a swamp, a theatre, and a planetarium under 1 roof. Even the roof is special. It is a living roof, and there are different kinds of grasses, herbs and flowers growing on it. Sensors and weather equipment is also there on the roof.

As soon as you enter the building, you are greeted by a full size real T-rex fossil. It dominates the front lobby. The first thing we did was go to the rainforest, enclosed in a glass bulbous structure. There were many species of birds, butterflies and moths in the open. The lower part of the rainforest was flooded and there huge fish swimming around. Poisonous frogs, snakes, lizards and other reptiles and amphibia were on display in small glass enclosures. These animals gave me the heebie-jeebies. Exotic insects like leaf-cutter ants, and atlas beetles were also on display.

The planetarium is another bulbous structure. Currently, they were showing a short documentary on coral reefs inside it. The special thing about it was that it had a round screen like a concave mirror on the ceiling, so that you had to look up. The documentary was very immersive, and explained the formation, importance and life functions of corals. They also talked about the big impact of global warming on them, and the need to save them. The show was very funny, with the narrator dropping in jokes all the time.

There is an exhibit about the world of color, and how animals and plants use colors and camouflage to their advantage. An interactive that i really liked had a screen and you had to spot camouflaging birds and insects from a monkey’s vision. There were even bioluminescent mushrooms, fireflies and glowworms. They looked like something out a sci-fi film. In another area, there was a special pendulum, which changed the angle of its swing by less than a degree every oscillation. That is one of the proofs of the rotation of the Earth.

The aquarium is huge, occupying the entire lower level. There were giant tanks containing coral reefs and different fish which live in that environment. The academy basically had whole ecosystems in tanks. In the aquarium, there were tanks filled with sea horses, jellyfish, and many other exotic fish. In one area, tidepool creatures like starfish, and sea urchins were displayed, and you could even touch them! A part of the aquarium extended below the rainforest, and you could see the fish in the rainforest from below.

There is an african hall in the Academy too. At one end are the famous African Penguins. You can watch them swim, play and dine. At 3:00 o clock everyday, a keeper goes into the enclosure and feeds the penguins and answers any questions posed by visitors. Since human evolution started in Africa, There were displays and interactives about primitive humans.

Another famous show at the Academy is the 3D tour of the Universe. There was a silent documentary on the screen, which we watched with 3D glasses. The host explained what we were seeing and kept cracking bad jokes and puns. The show was extremely absorbing. It started small scale, with the Earth, and then went bigger, to the edges of the observable universe. The steps were: Earth, Earth and its satellites, the Solar System, the Milky Way, the galaxy clusters, and the edge of the known universe. They even discussed about Earth’s electromagnetic footprint, were radio waves from the Earth had reached, and an image taken by a very powerful telescope. This telescope showed the universe a 100, 000 years after the big bang.

A very dazzling exhibit was the one about gemology. There were over a 100 varieties of minerals on display. You could even touch malachite crystals gently. A cabinet containing fluorescent minerals took my breath away. There was even a 6 tonne crystal of quartz. Even precious stones and minerals like gold, malachite, diamond, emerald, beryl, topaz and opal were on display.

Another area of the Academy is the swamp. It is a rectangular pit in the floor surrounded by railings. There is a very rare and famous albino alligator in the swamp, called Claude. It is completely white in color. There are less than a 100 of these alligators in the wild. there was show about the swamp called swamp talks. We listened to the host talk about the different flora and fauna in the swamp, especially the alligator. The other animals in the swamp include,= turtles, fish, snakes and eels.

In the centre of the academy is a Piazza. The front half of the Piazza is devoted to shows, and there are plastic chairs and a small stage. The back half is filled with tables and chairs, for dining. We watched a show in the Piazza called Ssssnake Encounter. In this show, 1 person walked around holding different snakes, while the other talked about the different body parts, senses, and hunting strategies employed by snakes.

The California Academy of Sciences is a rich and wholesome learning experience, and a great place to go. It is completely family friendly, suitable for all ages. A 10 out of 10 rating and a must go in the bay area!

Recently, I went on a road trip to Belur and Halebeedu. These are considered twin cities, as they are very nearby and there are ancient temples in each.

After a long drive from home, we reached Halebeedu. The Dvarasamudra temple, built by the Hoysala dynasty was truly breathtaking. The dynasty’s emblem was all over the temple. It was perfectly symmetrical, and was flanked by more statues on the sides. All the walls were intricately carved, both inside and outside. Many scenes from Indian mythology were depicted on the walls and the ceiling. No space was left bare. However, a lot of the carvings, which had survived the test of time, were defaced by invaders in medieval times. Another work of art worth mentioning was the 9ft tall statue of Nandi, a holy bull. It was carved out of a single stone.

We also visited the Chennakeshvaswami temple in Belur. There was a huge complex, with many temples and shrines inside. The gateway to the complex was massive, and covered in golden carvings. It looked very majestic in the light of the early morning sun. The main temple here had less carvings, but its size made up for that. the roof was covered in carvings of life in medieval times. These temples are valuable sources of Indian history, telling us about the life of the people in that period. In the complex, there was a tall stone pillar, which was standing under its own gravity, i.e, it wasn’t cemented into place. It has been standing for over a thousand years. Many smaller temples were also there in the complex, all covered in carvings. There are rich tales of mythology to be told from these carvings.

What’s really incredible about these temples is that they must have taken over a hundred years to make, even with a huge team of sculptors and masons working on it. All the carvings were made of solid stone, and modern tools like the sandblaster didn’t exist. All the work was done by hand, using simple implements. And yet, the carvings are so intricate, you can make out every detail, form the pupils in eyes, to the nails on hands and feet. A great deal of patience and skill must have been needed to make these temples a reality.

Meet Atlas, a humanoid robot created by Boston Dynamics. It can lift upto 60 kgs, climb stairs, jump upto 4 ft, and even land a backflip!! Robots like these are taking over every sphere of life. Just look around you. You will find a number of computers, all doing different things.

Amazon Go, a store where there are no cashiers has opened its first branch in Seattle. Google and Tesla have both created self-driving car systems. With systems like Amazon Echo and Google Home, you can order items, listen to music, control your house, and do much more by just asking. Zume, a Silicon valley based restaurant, uses robots to make pizzas.

AI is overtaking humans everywhere. Robots can go where humans can’t and perform hazardous jobs like radioactive waste disposal. Computers almost never make mistakes, and are being used everywhere from concierge to army purposes. Logitech uses warehouse robots, which pick up items from racks and put them for dispatch.

All this automation is causing mass joblessness for many people, such as chefs, drivers and factory workers. Serious steps have to be taken towards this. But, in the meanwhile, let’s marvel at the long way computers have come.

Whenever we hear the word ‘art’, we think of the artist’s world of imagination painted on a canvas. Art paints a picture in our minds that make us visualize dreams and a world of fantasy. It is really a reflection of artists’ thoughts on a medium. We usually do not visualize that an art form can also be about real life issues that plague the society or civic problems causing peril to the people in a particular place.

Art can actually be used to strike at the root of social and civic problems. Graffiti on city walls, carvings on drain covers or artwork in places of public transport like train stations, bus stops or airports can greatly influence the way people think. For example, many people throw wrappers and garbage on the road. A graffiti artwork on a wall can show the consequences of such actions in an amusing manner. In a bus, a banner can be hung; portraying the effects of smoking or spitting in public places. This raises awareness about social and civic problems in a creative way.

Art competitions can be organized for kids to educate them about these causes. The children’s work can be displayed, thus motivating people to help find solutions to these problems. A picture is worth a thousand words, and a whole exhibition is certain to draw people towards it.

Art is surely one of the best ways of recording your feelings and portraying positive messages to the community. People have used art for several centuries to display their thoughts. We can do this easily with modern inventions. Hence, artwork is a very powerful weapon compared to words. We should use it to help people and the world. With art, we can shape the future.