Premise: Whenever an epidemic (conjunctivitis, swine flu, malaria, etc.) is on the rise in a region, the only way an individual comes to know of it is through media (news channel/newspaper/radio), government announcements, by getting infected or by seeing an infected friend. By the time one becomes aware of the epidemic, it has already spread in the locality.
Outcome: MedAlert is a mobile application that helps alert individuals before an epidemic spreads. It captures data from the pharmacists billing system and compares it against a pre-set threshold which leads it to determine that an epidemic is on the rise or not depending on the sale of particular medicines and medical artefacts. This way, an individual would get localized as well as country wide data on the rise of an epidemic. The individual will be informed well in advance and will not have to wait for the media/government announcements and can safeguard one's self from the epidemic by taking required pre-cautions. The application also has the potential to generate patterns of data collected over a period of time and they can be viewed graphically with a smart phone. For regular handsets, textual data would be sent as alerts.