Project Reference: CS119

Student’s Name: Taibah Begum

Project title: Pill Recognition Program

Course Title: Computer Science

Supervisor’s Name: Yusuf Ahmed

The aim of project is to serve as a pill recognition program. It is mainly based around the pharmaceutical field, health care and care homes but mainly targeted for the NHS. The components used within the project are: Weka(machine learning tool) and an Excel spreadsheet.

My final dissertation is based on the pharmaceutical field, within the last year due to covid-19 the most promising field is health service and NHS also the pharmaceutical field, these fields have shown the most money-making field and the most promising departments to keep a job long term, you have a various field you can enter into e.g pharmacist, dispenser, shop floor assistant, tray dispenser and methadone dispenser, etc, these fields are commonly known in hospitals and pharmacy, care homes and General Practitioner. The pharmaceutical industry is one of the most consistent fields to this day, they have entered the field since 1849, which was started by two German immigrants who landed in the United States, they initially started this field to help in the civil war, once they started the pharmaceutical industries, their field grow massively within the civil war because the soldiers had come back with extensive wounds, they started making the pills by hand and making the liquid medication by starch within their area, nowadays all these medications have been pre-made in 3rd world countries or by 3rd part companies which makes the pharmacist life easier and more efficient and then shipped into the UK or entire world. 2021

“Within the pharmaceutical field, both pharmacists and customers can make the same mistake of misidentifying pills. A single misidentification can cost a life. The process to rectify a misidentification mistake can be costly and time consuming but life changing. There are several occasions where a situation like this may occur. For example, if a patient thinks they have the wrong medication, this will need to checked by the dispenser and the pharmacist due to the severity of the situation and the possible outomes. Thoroughly checking the medication, the patient’s details and then re-preparing the medication will take an average of one hour. This is where our program will come in place; as the second pair of electronic eyes. Our program will reduce the likelihood of misidentification occuring by the pharmacist, resulting in less lost time. “