Challenge Area:
Access to services for marginalized groups.

Problem Statement:
Disabled individuals face barriers in accessing public services due to lack of inclusive systems.

Solution Concept:
Develop an AI-driven accessibility platform that uses NLP and computer vision to translate service information into sign language videos or braille-compatible formats.

Expected Impact:
Improve service access for 15,000 disabled individuals.

Next Steps:
Build multilingual NLP models, create a web portal, and test with disability advocacy groups.

Challenge Area:
Social Inclusion

Problem Statement:
Marginalized communities face barriers to accessing government services due to bureaucratic inefficiencies.

Solution Concept:
Create an AI chatbot to guide users through service applications, using NLP and decision trees for personalized assistance. The PoC ensures data preprocessing for multilingual inputs and edge-case handling for complex queries.

Expected Impact:
Increases service access by 40% for 500,000+ individuals.

Next Steps:
Support additional languages, integrate with government APIs, and enhance accessibility features.