Ideas

1.Fake profile accounts in the social networking websites.
  One of the problems with Social Networking Webistes being poor user authentication mechanisms. 
  Usually, the accounts are created with the help of an email ids. 
  When no or poor user authentication mechanisms are used, it would be easy for the attackers to create lots of fake accounts. 
  Downside being wastages of resources on the organisation side, and user experience is greatly affected. 
  
  Solutions: 
  1. User authentication by Phone numbers
  2. Using captchas
  3. Using machine learning algorithms to find fake profiles
  
2.	Video Aggregator: There are several Sporting event streaming, TV shows or movies streaming websites, some of them might not work,
only a few might work. Hence, checking each link becomes tedious. 

Solution:
Finding all the relevant urls and providing a single window where the video from any of the sites can be viewed. 
There are plenty of ways in which the web can be crawled to find the relevant links and also there different 
options to finally display the video from these sites. 

3.  Content Aggregation: Like the previous idea, news content can be aggregated from several different news websites
(regarding the same news topics) and displayed in one page, this provides different viewpoints of the same news OR product details 
of a product, can aggregated from several online shopping sites like amazon and ebay and can be displayed in one page for easy price
comparison.

Solution:
Similar to the 2nd idea


4. Password Management:
Remembering passwords is one of the most difficult problems when it comes to managing more than a couple of accounts. 
Using same Passwords for all the accounts is not an safe option. And, We tend to forget or not associate the password with a 
particular account when we use more than one password.

Solutions:
1. Facial recognition
2. Finger print recognition
3. Remember passwords in browsers.
4. Doodles


5. Cab Fare Estmation: [Idea taken]
There are so many options available when it comes to choosing a cab service provider such as Uber, lyft, etc. 
But, it is always difficult to find the provider who provides the cheapest option. The idea is to create an application
to estimate the fare of different service providers in a single place. 

Soltions:
1. APIs provided by the service providers.
2. Using Machine learning to predict the fare.
3.