GenAI for Bharat, by Bharat
Government-Funded Multimodal Large Language Model initiative for Indian Languages Supported by National Mission on Interdisciplinary Cyber-Physical Systems, Department of Science & Technology (NM-ICPS, DST)
.png)
Government-Funded Multimodal Large Language Model initiative for Indian Languages Supported by National Mission on Interdisciplinary Cyber-Physical Systems, Department of Science & Technology (NM-ICPS, DST)
We are developing intelligent solutions that combine deep language understanding with structured reasoning. Our efforts aim to create scalable, explainable systems that support complex decision-making in real-world domains. Through BharatGen, we're pushing the boundaries of what AI can do in high-impact environments.
Legal document review and contract analysis become faster with AI-powered compliance checks. Automated drafting tools generate contracts and notices, reducing manual effort.
AI and LLMs are transforming legal analysis by automating statute retrieval, case law summarization, and precedent matching. They assist in argument generation by analyzing case facts and suggesting logical reasoning. Legal document review and contract analysis become faster with AI-powered compliance checks. Automated drafting tools generate contracts and notices, reducing manual effort. Judicial assistance tools help judges by highlighting key legal principles and contradictions. AI-driven legal chatbots provide instant guidance, while compliance monitoring ensures businesses stay updated with regulations. Ethical AI frameworks help detect biases, promoting fairness in legal outcomes.
At the heart of our mission lies a bold vision: to develop a large language model (LLM) that can seamlessly understand and respond in any Indian language. From the lyrical rhythms of Hindi poetry to the rich conversational nuances of Tamil, Bengali, Malayalam, and beyond — our goal is to create an AI that speaks to India in all its linguistic diversity.
Our journey has already led to exciting milestones, such as:
Hindi Poetry Generation : Using deep learning techniques, we've trained our model to generate original Hindi poetry that captures both cultural context and poetic structure.
Multilingual Comprehension : Our model can process and understand a wide range of Indian languages, making it capable of engaging in meaningful dialogue across regional boundaries.
Context-Aware Responses : Whether it's a casual conversation in Marathi or a technical question in Kannada, our system tailors responses to the linguistic and cultural tone of the query.
