Introduction:
Oral cancer (OC) is a big public health problem. 84% oral cancers can be avoided by detecting potentially premalignant oral epithelial lesions (PPOELS). Self screening may assist with early detection. An innovative approach of self examination by incooperating artificial intelligence in the mobile based application for detection of oral lesion was developed.

Objectives:
Development and evaluation of a proto type mobile based application for self screening of PPOELS and OC 1. Assess the current apps for OC and PPOELS 2. To develop a prototype of mobile based application for PPOELS and OC 3. To validate and assess the prototype app by public health dentist, oral medicine radiologist , oral pathologist and patients

Methods:
Information was gathered about oral cancer screening apps in India and other countries by various data bases. The prototype apps was designed with the help of app developers. The various sections of apps included risk assessment tool, method of examination with a phone camera and referral centers. Prototype app was validated.

Results:
A total of 12 apps are developed for oral cancer. 33.3 % applications are for patient education, 66.7 % are adjunct for health care professionals. None of the apps had the component of self screening

Conclusion(s):
Oral cancer self screening will become handy. The app will help the person to actively engage self as a stakeholder in early diagnosis and development of referral chain.