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.