Cloud Computing – When Charles Babbage invented the first computer, it was the size of two rooms. Soon enough, we figured out a way to downscale the size, but the memory was still an issue. Huge devices could only carry a few bits of information. However, our advancement in  data storage has been exceptional over the past two decades. We discovered compact disks, then digital versatile disks, and then memory cards. These devices solved our memory problem to a large extent. However, data quality also improved over time, creating a need for better storage solutions.

Companies introduced servers and bulky hard disks, but these were far from consumer satisfaction. To quench the daily needs of an average consumer, digital platforms came up with the idea of cloud storage. Initially, the purpose of cloud storage was to provide an alternate means for data storage, which could help free up space on the device. Although, with changing times and the rapid digitization of businesses, cloud storage applications increased.

Today, cloud computing is providing solutions to real-time issues concerned with businesses. The applications are not just limited to businesses; we can use cloud computing to develop efficient solutions in the education sector, administration, etc. Here are ten project ideas for students studying cloud computing to enhance their analytical skills.

STM or Smart Traffic Management

We often see people complaining about traffic and getting late. This is because people unknowingly pick the wrong route when they set off for their journey. Young minds studying cloud computing refrain from applying traffic management techniques to real-life problems.

But, one should remember that this is one of the best cloud computing applications. Here, the student can use three tools to determine the shortest path to the destination. By shortest, we mean distance-wise and time-wise.

For this purpose, one must analyze the existing traffic conditions of different routes. Next, the vehicle movement pattern must also be calculated. The rate of movement of two-wheelers, three-wheelers, and four-wheelers must be figured out.This will give an elaborate idea of congestion on different routes. The three tools we discussed earlier are wireless sensors, updated coordinates of the vehicle’s source and destination, and vehicle router.

Lastly, the students pursuing computing training can also use video processing algorithms to study the effects of several external factors on traffic. These factors could be rain, driving zones, etc. Combining all the data mentioned above will provide real-time traffic data and the shortest path to the destination.

Chatbots

Chatbots have become increasingly popular with websites because they save them the cost of customer support services. A chatbot is essentially an Artificial Intelligence software that interacts with the users having generic queries on a particular subject. This project is extremely popular with cloud computing students.

Firstly, you will have to draft an algorithm to generate appropriate responses. This algorithm can be designed using machine learning or natural language processing. Next, the algorithm will be uploaded on the cloud storage and linked to the website. The best thing about this project is the real-time connectivity.

Your project will be linked to a website, which will help you monitor the traffic on the website and record your chatbot’s response. You can analyze the responsiveness and accuracy of your algorithm and make further improvements as required.

Bug tracker

The bug tracker is one of the more straightforward projects that the students can work on,and the objective is simple: identify and eliminate a bug as soon as possible. More often than not, we roll out software that appears glitch-free initially, and however, after extended use, the bugs may begin to appear.This happens due to syntax errors, wrong calculation of commands, and lack of communication between different teams.

Now, who will identify the bug? Any person, be it an administrator or a staff member, or even a customer, will be entitled to run this application.

Now, the app will require some login credentials. After that, the user will be good to go. The user will have to punch in the bug details, such as the date of bug creation and how long the bug was in the system. If the first-hand bug identification fails, the customer can also send the information to the administration. This way, the customer will not waste their valuable time in locating a bug.

Detecting data leaks using SQL

The modern era of digitization has made our lives easier in many ways. We have improved communication and better convenience when it comes to day-to-day activities. However, this also means that we are putting up a lot of our sensitive personal information online. This often leads to data leakages which can cause financial and physical losses.

The data leakages can be attributed to ransomware from our friends who somehow saw our password. Such data leakages became quite common during the pandemic when random ransomware took charge of the victim’s computer and performed any desired activities.

To overcome this problem, cloud computing can use SQL to develop a robust algorithm. The users of any particular services will be categorized in two halves.

The behavioral pattern of the original user on a particular website will be studied. Next, the software will detect remote activities through the original user’s ID. If the activities seem bizarre and software operated, the SQL software will restrict or block usage on the remote device. This can help protect data efficiently.

Android offloading

Android offloading is yet another simple project for cloud computing students. The idea is to loosen the Android software on the phones. Usually, many heavy applications run in the background, slowing down the processing speed of the phone. This project will use a framework to facilitate Android offloading through cloud storage.

The Android users will shift the heavy workload applications to online cloud storage. This will free up space on the foreground and background for various processes, and they can now use the space to execute essential tasks.

The offloading application will also allow the user to select an application or a file for timestamp analysis. Such analysis will aid in determining how long a process is using the background space.

The user can also figure out the interactive and non-interactive components of a given process. Thus, the non-interactive heavy element could be shifted to virtual servers.

This will facilitate robotic offloading in real-time. This can be a crucial product for businesses because it will help them determine the efficiency of a product. Additionally, the companies can also calculate the profit margin on a product based on existing market conditions.

Conclusion

Cloud computing is the future of the AI and IoT industry. If you want to stay ahead of your game, you must pursue the best cloud training online in this area. This will also give you a better understanding of real-world problems and to solve them.

With Great Learning, you can enhance your skills and learn  to do efficient projects using robust algorithms. This platform will storm you with novel ideas, which will immensely help your career.

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