sections/conclusion_future_work/social_impact.md

Our approach has a significant social impact, considering the sheer number of use-cases for this model and dataset.

• Translating the data using the existing MT models is a huge plus since multilingual data is scarce.
• The model we created is easy to use and easy-to-train (hassle-free).
• A multilingual model which answers questions based on a image has many usecases:
  • Healthcare Chatbots
  • Personal Assistants
  • Devices for visually-impaired people and so on.

With more and better training, we should be able to produce models that work across several languages and help solve several real-life problems for the community.