Government Of India
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Datasets
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Kisan Call Centre (KCC) - Transcripts of farmers queries & answers
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Variety-wise Daily Market Prices Data of Commodity
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Aadhaar Demographic Monthly Update Data
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•Updated 4 month(s) ago List of MSME Registered Units under UDYAM
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•Updated 4 month(s) ago District resource maps of India information from 1997 to 2022
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•Updated 4 month(s) ago List of Hospitals empaneled under CGHS all over India
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•Updated 4 month(s) ago Daily FCI Stock Position of the Commodity
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•Updated 4 month(s) ago Senior/Young Artist Scheme Data
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•Updated 4 month(s) ago Village-wise Survey Data of ANDHRA PRADESH for Mission Antyodaya 2020
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•Updated 4 month(s) ago State/UT/City-wise Age and Gender-wise Distribution of Total Accidental Deaths during 2023
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•Updated 4 month(s) ago- 0
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Coal/Lignite Production and Dispatch CIL,SCCL,NLCIL As on date
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•Updated 4 month(s) ago District-wise Data on Key Performance Indicators of WDC - PMKSY 2.0 as on date
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•Updated 4 month(s) ago Models
Discover models to support your AI solutions
Bhashini - IndicNER
IndicNER is a multilingual Named Entity Recognition model fine-tuned on 11 Indian languages to identify named entities in text
Bhashini - Fastspeech2 Model using (HS)
Text-to-speech models trained using FastPitch and HiFi-GAN vocoder, separately for each language. Supports both 'female' and 'male' voices.
Bhashini-AI4Bharat Textual Language Detection v1.0
Detect language from provided text, Currently supports 23 languages (English, Bangla, Manipuri, Bodo, Konkani, Oriya, Nepali, Marathi, Sindhi, Sanskrit, Malayalam, Urdu, Assamese, Telugu, Dogri, Gujarati, Kashmiri, Punjabi, Santali, Maithili, Hindi, Tamil, Kannada)
IndicXlit
A Transformer-based multilingual transliteration model
BharatGen - Param 1 Indic-Scale Bilingual Foundation Model
Param1 is a 2.9 billion parameter language model pretrained on English and Hindi, designed for text completion.
sarvam-105b
Sarvam-105B is an advanced Mixture-of-Experts (MoE) model with 10.3B active parameters, designed for superior performance across a wide range of complex tasks. It is highly optimized for complex reasoning, with particular strength in agentic tasks, mathematics, and coding.
AI4Bharat - Airavata: Large-Scale Multilingual Model for Indic Languages
A model designed to convert text into speech, supporting multiple Indian languages.
sarvam-1
India's first indic model, pretrained on 4 trillion tokens
BharatGen - A2TTS-v0.5 : Speaker Adaptive TTS Model (Hindi)
Text-to-speech synthesis model tailored to match a given speaker's voice sample.
Baaz-v1
Hindi Text-to-Image generation model using the Generative Adversarial Network
A2TTS-Bengali Speaker Adaptive TTS (Text-to-Speech)-v0.5
Text-to-speech synthesis model tailored to match a given speaker's voice sample.
BharatGen - Patram 7B Instruct
India's First Vision-Language Model for Documents
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Competitions
Solve real-world challenges and win big.
Competition ended IndiaAI Innovation Challenge 2026 (Ministry of AYUSH)
Launched in partnership with the Ministry of AYUSH to build AI powered intelligent AYUSH health systems
Competition ended IndiaAI Innovation Challenge 2026 (MSME – TEAMS)
Launched in partnership with Ministry of Micro, Small and Medium Enterprises (MSME) – TEAMS Portal to build AI powered intelligent vendor mapping tool.
Competition ended CDSCO-IndiaAI Health Innovation Acceleration Hackathon
IndiaAI, under the Ministry of Electronics and IT (MeitY), is collaborating with the Central Drugs Standard Control Organisation (CDSCO) to leverage Artificial Intelligence to streamline the regulatory review and expedite regulatory decisions.
Competition ended IndiaAI Innovation Challenge 2026 (MSME – ODR)
Launched in partnership with the Ministry of Micro, Small and Medium Enterprises (MSME) - Online Dispute Resolution Portal to build AI powered digital dispute resolution ecosystem in the country.
Competition ended IndiaAI Financial Reporting Compliance Challenge
The challenge, in partnership with the National Financial Reporting Authority (NFRA), seeks to harness Artificial Intelligence (AI) to enhance the quality of financial reporting in India, streamline compliance monitoring and facilitate effective regulatory decision-making.
Competition ended IndiaAI Innovation Challenge for Transforming Governance (Department of School Education)
IndiaAI, under the Ministry of Electronics and IT (MeitY), has partnered with the Real Time Governance Society and line departments under the Government of Andhra Pradesh to launch the IndiaAI Innovation Challenge for Transforming Governance. This initiative invites innovators to build AI-driven solutions that address critical challenges across urban infrastructure, education, rural livelihood generation, last-mile service delivery and renewable energy. The resulting solutions should have cross-sectoral and nationwide applicability, enabling seamless deployment across various public departments and organisations.
Competition ended IndiaAI Innovation Challenge for Transforming Governance (Women Development and Child Welfare Department)
IndiaAI, under the Ministry of Electronics and IT (MeitY), has partnered with the Real Time Governance Society and line departments under the Government of Andhra Pradesh to launch the IndiaAI Innovation Challenge for Transforming Governance. This initiative invites innovators to build AI-driven solutions that address critical challenges across urban infrastructure, education, rural livelihood generation, last-mile service delivery and renewable energy. The resulting solutions should have cross-sectoral and nationwide applicability, enabling seamless deployment across various public departments and organisations.
Competition ended IndiaAI Innovation Challenge for Transforming Governance (Municipal Administration & Urban Development Department)
IndiaAI, under the Ministry of Electronics and IT (MeitY), has partnered with the Government of Andhra Pradesh to launch the IndiaAI Innovation Challenge for Transforming Governance. This initiative invites innovators to build AI-driven solutions that address critical challenges across urban infrastructure, education, rural livelihood generation, last-mile service delivery and renewable energy. The resulting solutions should have cross-sectoral and nationwide applicability, enabling seamless deployment across various public departments and organisations.
Competition ended IndiaAI Innovation Challenge for Transforming Governance (Roads & Buildings Departments)
IndiaAI, under the Ministry of Electronics and IT (MeitY), has partnered with the Real Time Governance Society and line departments under the Government of Andhra Pradesh to launch the IndiaAI Innovation Challenge for Transforming Governance. This initiative invites innovators to build AI-driven solutions that address critical challenges across urban infrastructure, education, rural livelihood generation, last-mile service delivery and renewable energy. The resulting solutions should have cross-sectoral and nationwide applicability, enabling seamless deployment across various public departments and organisations.
Competition ended IndiaAI Innovation Challenge for Transforming Governance (Municipal Administration & Urban Development Department)
IndiaAI, under the Ministry of Electronics and IT (MeitY), has partnered with the Real Time Governance Society and line departments under the Government of Andhra Pradesh to launch the IndiaAI Innovation Challenge for Transforming Governance. This initiative invites innovators to build AI-driven solutions that address critical challenges across urban infrastructure, education, rural livelihood generation, last-mile service delivery and renewable energy. The resulting solutions should have cross-sectoral and nationwide applicability, enabling seamless deployment across various public departments and organisations.
Competition ended IndiaAI Innovation Challenge for Transforming Governance (NREDCAP)
IndiaAI, under the Ministry of Electronics and IT (MeitY), has partnered with the Real Time Governance Society and line departments under the Government of Andhra Pradesh to launch the IndiaAI Innovation Challenge for Transforming Governance. This initiative invites innovators to build AI-driven solutions that address critical challenges across urban infrastructure, education, rural livelihood generation, last-mile service delivery and renewable energy. The resulting solutions should have cross-sectoral and nationwide applicability, enabling seamless deployment across various public departments and organisations.
Competition ended PMJAY Auto Adjudication Hackathon
The National Health Authority is conducting the PMJAY Auto Adjudication Hackathon supported by the IndiaAI Mission, which aims to build solutions for the auto-adjudication of medical claims with a national-level impact.
Use Case
Access use case library to inspire your next AI innovation using AIKosh resources
Trending
New on AIKosh View All AI-Powered Voice Assistant for Farmers
This use case focuses on voice assistant using Automatic Speech Recognition (ASR) to help farmers access agricultural insights regional Indian languages
AI-Driven Smart Energy Management
The use case leverages AI to optimize energy distribution, improve grid efficiency, detect fraud, and integrate renewables for a smarter power ecosystem
AI-Powered Conversational Agents for Rural E-Governance
This use case enables rural citizens to access government services via AI voice assistants that understand dialects, resolve queries, and assist with schemes.
AI-Powered Fair Price Shop Optimization and Fraud Detection
This use case leverages AI to optimize ration distribution, detect fraudulent transactions, and enhance Fair Price Shop efficiency
AI-Driven Assessment, Diagnostics for Joint and Muscle Health
Delivers insight into joint function, muscle health, and recovery needs using EMG and ROM - ideal for post-op, chronic pain and neuro and ortho diagnostics.
Healthcare, Wellness and Family Welfare
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- 2,636
AI-Powered Smart Rural Development Planning
This use case leverages AI to identify rural infrastructure gaps, optimize resource allocation for sustainable development
Large-Scale Multilingual Training Datasets for Large Language Models
AI Kosh, in collaboration with Meta and Sarvam AI, is releasing 12 billion synthetic Indic training tokens across 10 Indian languages, along with a fine-tuned 17B Llama-4 MoE model and its fine-tuning pipeline. The initiative strengthens India’s AI training infrastructure and enables scalable multilingual model development across sectors such as science, healthcare, education, and agriculture.
Sector Agnostic
- 1
- 2,389
Named Entity Recognition (NER) for Indian Languages
This use case focuses on leveraging Named Entity Recognition (NER) to automatically detect and classify key entities in Indian languages
Multilingual Indic Language Translation
This use case focuses on translation across Indian languages, enabling seamless communication in governance, education, business, and public services
AI-Powered Urban Growth Planning
This use case is about leveraging AI to track urban expansion, detect slums, and support data-driven smart city planning for sustainable development
BrainSightAI
BrainSightAI is the Google map of the brain which allows you to map the functions.
ConvoZen.AI
Conversational AI platform enabling businesses and governments to deploy multilingual AI agents across phone, chat, WhatsApp chat, voice notes and more while also enabling to extract valuable inights from agent-customer interactions.
Sector Agnostic
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Bhashini - IndicNER
IndicNER is a multilingual Named Entity Recognition model fine-tuned on 11 Indian languages to identify named entities in text
Try Model Bhashini - Fastspeech2 Model using (HS)
Text-to-speech models trained using FastPitch and HiFi-GAN vocoder, separately for each language. Supports both 'female' and 'male' voices.
Bhashini-AI4Bharat Textual Language Detection v1.0
Detect language from provided text, Currently supports 23 languages (English, Bangla, Manipuri, Bodo, Konkani, Oriya, Nepali, Marathi, Sindhi, Sanskrit, Malayalam, Urdu, Assamese, Telugu, Dogri, Gujarati, Kashmiri, Punjabi, Santali, Maithili, Hindi, Tamil, Kannada)
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asasdasdasdasdasdasdbout Model
This repository contains a Fastspeech2 Model for 16 Indian languages (male and female both) implemented using the Hybrid Segmentation (HS) for speech synthesis. The model is capable of generating mel-spectrograms from text inputs and can be used to synthesize speech.
Fs2 is composed of 6 feed-forward Transformer blocks with multi-head self-attention and 1D convolution on both phoneme encoder and mel-spectrogram decoder. In each feed-forward Transformer, the hidden size of multi-head attention is set to 256 and the number of head is set to 2. The kernel size of 1D convolution in the two-layer convolution network is set to 9 and 1, and the input/output size of the number of channels in the first and the second layer is 256/1024 and 1024/256. The duration predictor and variance adaptor, which are composed of stacks of several convolution networks and the final linear projection layer. The convolution layers of the duration predictor and variance adaptor are set to 2 and 5, the kernel size is set to 3, the input/output size of all layers is 256/256, and the dropout rate is set to 0.5.
Advancing Telugu NLP: Telugu LLM Labs with native and romanized datasets
Telugu LLM Labs, led by researchers from LlamaIndex, is advancing NLP for Telugu — a language with 100M+ speakers historically underrepresented in AI. The initiative creates open datasets in both native and Romanized Telugu scripts and fine-tunes LLMs like Llama 2, Mistral, and TinyLlama, setting a precedent for other regional Indian languages in AI development.
AI4Bharat unveils BhasaAnuvaad: Speech translation dataset in 13 languages
AI4Bharat launches BhasaAnuvaad, the largest speech translation dataset for Indian languages, covering 44,400 hours of audio across 13 languages including Hindi, Tamil, Telugu, and Bengali. It tackles India-specific challenges like code-switching and dialectal diversity. A synthetic benchmark, Indic-Spontaneous-Synth, is also introduced to test real-world translation model robustness.
Cosmopedia: Redefining the synthetic data landscape with the largest open dataset
Cosmopedia v0.1, hosted on HuggingFace, is the largest open synthetic dataset with 30 million samples and 25 billion tokens, generated by Mixtral 7b. It includes textbooks, blog posts, stories, and WikiHow articles across eight dataset splits. Designed to democratize AI research, it supports NLP, model training, and scalable AI development with rich metadata and diverse content.
IIT Madras, AI4Bharat, and Sarvam AI launch IndicVoices: A milestone in Indian speech recognition
IIT Madras, AI4Bharat, and Sarvam AI have launched IndicVoices, a 12,000-hour multilingual speech dataset covering 22 Indian languages and 208 districts. Accompanied by IndicASR, the first ASR model supporting all 22 official Indian languages, the initiative is open-sourced under CC-BY-4.0, offering a global blueprint for multilingual speech data collection and advancing inclusive AI development.
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