The Preordering Food System aims to optimize the overall dining experience and promote student engagement in campus food services. The dining experience for college students and promote a more personalized and efficient food service within hostel premises.
This innovative application offers a seamless multilingual experience, initiated by capturing images for swift text extraction. Upon text recognition, effortless translations are available in languages such as Tamil, Kannada, Japanese, Marathi, Telugu, Hindi, and extended to languages like Russian, French, Spanish, and Urdu. Inclusivity is enhanced through audio renditions of translations, benefiting visually impaired users. This integrated tool acts as a language bridge, fostering efficient cross-lingual communication and understanding. An invaluable asset for users aiming for rapid and accurate interlanguage interactions, the application signifies a groundbreaking approach to breaking language barriers while accommodating diverse linguistic needs.
KEYWORDS: Multilingual, Text Extraction, Translation, Inclusivity, Audio Renditions, Cross-Lingual Communication, Language Barriers.NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

H/W CONFIGURATION:
β’ Processor - I3/Intel Processor
β’ RAM - 8 GB
β’ Hard Disk - 1TB
S/W CONFIGURATION:
β’ Operating System - Windows 10
β’ JDK - java
β’ Plugin - Kotlin
β’ SDK - Android
β’ IDE - Android studio
β’ Database - server script, my sql