Application for Drug Addicts using Artificial Neural Networks

Abstract

This is an application build with the aim to implement a proper advisory system for drug addicts. Drugs are the prime cause for the devastation of personal as well as social life of youngsters. Application uses Artificial neural networks to map the input provided by the users on the basis of questionnaire asked by the application. Artificial Neural networks are being used widely for the applications related to prediction and classification. The accuracy achieved in above mentioned tasks has made neural networks a reliable technique to generate results by using data gathered from different sources as training set. This application takes input from the user as the duration and type of drug intake and provides scores related to addict’s conscientiousness, sensation, openness, etc. as output in detailed report format. This helps user or rehab medics to decide preliminary actions to be taken to recover the addiction and to identify the problems being faced by the addict. Application also provides information regarding High risk of drug use, anti-social behavior and negative urgency in the report generated.

Keywords: Artificial Neural Networks, A-score, O-score, E-score

JEL Classification: Y60