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10 Real World Data science Project ideas in Python for Freshers India


  1. FRAUD AND RISK DETECTION



The most important application of Data Science comes in the field of finance. In the earlier times, banking companies were tired of debts and losses every year. But hiring data scientists was a life changing moment for the companies. Over the years, the banking companies learned to deal with data through customer profiling, past expenditures, and other essential variables to analyze the possibilities of risks and default. 


  1. HEALTHCARE



The healthcare sector receives great advantages from Data science.

  • Medical image analysis

Various methods and frameworks like MapReduce are used to find optimal parameters for tasks like lung texture classification, detecting tumours, artery stenosis, organ delineation, etc.

  • Genetics and Genomics

Data science applications enables an advanced level of treatment personalization through research in genetics and genomics. The goal is to understand the impact of the DNA on our health and find individual biological connections between genetics, diseases, and drug response. Data science helps to integrate different kinds of data with genomic data in the disease research and it provides a deeper understanding of genetic issues in reactions to particular drugs and diseases. And by this detailed analysis, we will get a deeper understanding of the human DNA.

  • Drug development

Drug discovery process is highly complicated and involves many disciplines. This whole process includes billions of testing, huge financial and time expenditure. It takes about twelve years to make an official submission. 

  • Virtual assistance for patients and customer support

In many cases, it is not necessary for the patients to meet the doctor in person. A mobile app can give more effective solution by bringing the doctor to the patient. The mobile apps can provide basic healthcare support as Chatbots. One can just describe the symptoms, ask questions and receive information about your medical condition derived from a wide network linking symptoms to causes. The mobile apps can also act as a reminder to take medicines on time.


  1. INTERNET SEARCH



Nowadays, when we think of searching something, Google comes to our mind. But there are many other search engines as well. They are Yahoo, Bing, Ask, AOL, etc. These search engines make use of Data Science algorithms to deliver the best result for the searched query within a few seconds. If there wasn’t Data Science, Google would not be existing today.


  1. TARGETED ADVERTISING



From the display banners on various websites to the digital billboards at the airports, almost everything is decided based on the Data Science algorithms. Digital ads are much better than traditional advertisements because they can be targeted based on the user's past behaviour.


  1. WEBSITE RECOMMENDATIONS



We ate accustomed with the website recommendations based on our search history. Many companies have started to use this to promote their products in accordance with user's interest and relevance of information. 


  1. ADVANCED IMAGE RECOGNITION



When you upload a picture with your friends on Facebook, you get a suggestion to tag your friends. It is because of the face recognition feature. This automatic feature of face recognition uses face recognition algorithm. In the recent versions, the suggestions comes with more accuracy and capacity. 


  1. SPEECH RECOGNITION



Speech recognition feature is a great blessing to human kind. It means even if you are not able to type a message, you can just speak out the message which will be converted to text. Examples of speech recognition products are Google Voice, Siri, Cortana, etc. And we must keep in mind that the speech recognition doesn’t perform accurately sometimes. 


  1. AIRLINE ROUTE PLANNING



Airline industries across the world has seen great losses except for a few airline service providers. Many companies find difficulty in maintaining their occupancy ratio and operating profits. But they began to use data science to improve the areas that require improvement.  Now the Airline companies can predict the delay of any flight, decide which class of airplanes to buy, and drive customer loyalty programs effectively.


  1. GAMING



Games are designed using machine learning algorithms nowadays which helps them to upgrade themselves as the player moved to higher levels. In the case of motion gaming, the computer analyses your previous moves and shapes your game accordingly. Sony, Nintendo, Zynga, etc. have led the whole gaming experience to the next level using Data Science. 


  1. AUGMENTED REALITY



This is the most exciting application of Data Science. Data science and virtual reality are related, considering a VR headset that contains computing knowledge, algorithms, and data to provide you with the best viewing experience. The best example is the interesting game of Pokémon Go. The players are required to walk around things and look for Pokémon on the walls , streets, and other things that aren’t really there. 


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1 Comments

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