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The value of online media for getting news is questionable. People seek out and devour news from online media because it is convenient, inexpensive, and widely disseminated. In contrast, it facilitates the widespread distribution of "counterfeit news," or news of lower quality that includes fabricated data. Many people and institutions are negatively impacted by the widespread circulation of false information. As a result, detecting fake news via social media has emerged as a topic of interest for academics. Searching for and reading the news is becoming increasingly convenient as a result of the widespread availability, quick expansion, and widespread dissemination of traditional news outlets and social media. Nowadays, there is a plethora of information that can be found on social media, and it can be difficult to tell what is real and what is not. The distribution costs of releasing news via social media are inexpensive, and anyone can do it. The widespread circulation of false information could have devastating effects on both individuals and communities. Developing a reliable machine learning method for spotting fake news is the focus of this work.

Due to the automation trends going on rapidly on these days in major organizations employees are constantly facing severe stress regarding their jobs. This insecurity levels in them is leading to several health problems some of which are to be monitored and proper medical care should be taken. Due to the work stress and lack of leisure's time many Employee's are postponing their health check-ups and facing major health issues. These health issues like blood pressure , heart diseases , diabetes, pneumonia etc., can be kept at checking levels if they are regularly monitored and avoiding future problems. Due to these health problems employees are not able to do their work as expected. So if the organizations take a major initiative regarding in this point of view by keeping a regular check on employees health and there routine medical check-ups by sending periodic alert messages to the corresponding employee reminding about their check-ups. In this Paper we are trying to design a software Application which enables the organization to provide necessary health check-up facilities to their employee's by collecting the medical information from each employee while joining the organization. It can also track employee health condition during his travel by using GPS. It would be of a great help to every employee. The organization collects medical information regarding the employee's making it mandatory process and storing the data in database (PHR),