Multilingual Indic Language Translation

Potential Use Cases:

1. Text Translation Models: Converts text across Indian languages while preserving context and script compatibility.
2. Multilingual Content Localization: Adapts websites, documents, and government portals for regional audiences.

Data Artifacts & Potential AI Solutions:

Input Data:

• Indian Language Text Data: Includes legal, educational, and business documents.
• Parallel Translation Datasets: Enhances chatbot and voice assistant translation accuracy.

Potential Outputs:

• High-quality translations between major and low-resource Indian languages.
• Localized digital content for governance, education, and business applications.
• AI-powered chatbots for real-time multilingual customer support.

Potential Solutions:

• Neural Machine Translation (Transformer Models): Enhances translation accuracy and contextual relevance.

Potential Benefits:

1. Bridges Language Gaps: Enables inclusive access to information and services across diverse linguistic communities.
2. Enhances Business & Governance Reach: Supports multilingual content for better public engagement.