Every champion deserves world-class assessment. Every innovator deserves the opportunity to build it. The AI-Powered Battery Test Assessment Platform Challenge, launched by @meitystartuphub in collaboration with the @Media_SAI
, invites startups, organizations, and MSMEs to build
@officialindiaai
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IndiaAI Challenge Invites Builders of AI-Powered Battery Test Assessments
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ParakhAI Combines Open-Source AI Evaluation and Human Oversight
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Who audits AI? ParakhAI is working to answer that question through an open source framework for AI model evaluation. Shortlisted under the Safe & Trusted AI Pillar of the IndiaAI Mission, the project combines automated assessments with human oversight to help evaluate AI models
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AIKosh MCP Helps AI Tools Discover Datasets and Models
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Every AI project starts with the right data. AIKosh Model Context Protocol (MCP) helps compatible AI tools discover datasets and AI models through natural conversations, making it quicker to find the resources you need. Learn More: https://
aikosh.indiaai.gov.in/home/user-manu
al
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IndiaAI’s Safe and Trusted AI Pillar Prioritizes Transparency and Fairness
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Trust isn't built in a moment. It's earned through consistency. Just as reliability inspires confidence on the field, AI must be built to inspire confidence in everyday life. The IndiaAI Mission's Safe & Trusted AI pillar is advancing AI that is reliable, transparent, fair, and
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IndiaAI Project Uses Synthetic Data to Reduce Machine Learning Bias
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Fair AI begins with fair data. Shortlisted under the Safe & Trusted AI Pillar of the IndiaAI Mission, this project by @iitroorkee focuses on generating synthetic data to reduce bias in machine learning datasets. By creating well represented, privacy preserving datasets, the
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IndiaAI Research Project Addresses Bias in Healthcare Models
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Can AI deliver fair healthcare for everyone? Researchers at NIT Raipur are working on exactly that. Shortlisted under the Safe & Trusted AI Pillar of the IndiaAI Mission, this project focuses on mitigating bias in healthcare AI through explainable, transparent and responsible AI
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AIKosh SDK Searches and Downloads AI Datasets Into Workflows
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Getting started with the AIKosh SDK takes just four simple steps. 1. Install the SDK.
2. Search India's AI-ready datasets and models.
3. Explore metadata and file structures.
4. Download what you need directly into your workflow. No manual downloads.
No repetitive steps.
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IndiaAI Explores Explainability for Decisions in Critical Applications
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Can AI explain why it made a decision—not just what it decided? As AI becomes increasingly important in critical applications, transparency, fairness, and privacy are essential to building trust. Under the Safe & Trusted AI Pillar of the IndiaAI Mission, the project "Enabling
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IndiaAI Encourages Foundation Models That Reflect Local Languages and Culture
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From diverse languages to diverse communities, AI should work for everyone. The IndiaAI Innovation Centre is enabling the development of indigenous AI foundation models designed to understand India's linguistic and cultural diversity. Explore the IndiaAI Mission:
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AIKosh SDK Automates Access to AI-Ready Datasets and Models
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Why switch between browsers and code when your data can come directly to you? The AIKosh SDK is built for developers who want faster, repeatable and automated access to AI-ready datasets and models. Whether you're building an ML pipeline or experimenting in a notebook, the SDK