AI4Bhārat

Hello! We are looking for educators who have experience between ( Grade 6 to Grade 10 Subjects: Mathematics, Science, and Languages) to support an AI-powered educational assistant (Tutor-Bot) project. Requirement Categories: 1. Senior Teachers / Pedagogy Experts(Preferably Retired Staff since this role is for Full Time) • Strong experience in curriculum design, pedagogy, assessments, learning outcomes, NEP 2020, NCF, and Bloom's Taxonomy. • Able to review lesson plans, worksheets, assessments, and student learning interactions. 2. Active Classroom Teachers (Who are willing to work as Part-Time) • Currently teaching Grades 9–10. • Subjects: Mathematics, Science, and Languages. • Boards: Tamil Nadu, Andhra Pradesh, Uttar Pradesh, NCERT/State Boards/ others. • Medium: English and Regional Language. • Will participate in testing, feedback sessions, and classroom applicability reviews. 3. Evaluation & Benchmark Contributors (both FT/ PT) • Tuition teachers, retired teachers, teacher trainees, or educators with teaching experience. • Will support evaluation, annotation, benchmark creation, and quality assessment activities. Preferred Skills: • Understanding of NEP 2020, NCF, Learning Outcomes, Bloom's Taxonomy. • Experience with lesson planning and assessment design. • Comfortable using AI-based educational tools. • Willing to provide structured feedback. Please share suitable profiles along with the requested details in Google Form attached herein- https://lnkd.in/djSngCuv AI4Bhārat Bodhan AI

We are thrilled to share that our paper "𝗣𝗿𝗲𝗳𝗲𝗿𝗲𝗻𝗰𝗲𝘀 𝗼𝗳 𝗮 𝗩𝗼𝗶𝗰𝗲-𝗙𝗶𝗿𝘀𝘁 𝗡𝗮𝘁𝗶𝗼𝗻" has been accepted at 𝗜𝗻𝘁𝗲𝗿𝘀𝗽𝗲𝗲𝗰𝗵 𝟮𝟬𝟮𝟲. Evaluating TTS in Indian languages is challenging due to the limitations of absolute rating scales. We introduce 𝗦𝗽𝗲𝗲𝗰𝗵𝗔𝗿𝗲𝗻𝗮𝗕𝗲𝗻𝗰𝗵 to solve this by shifting to a 𝗽𝗮𝗶𝗿𝘄𝗶𝘀𝗲 𝗽𝗿𝗲𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸. Asking users which of two samples sounds better creates highly consistent and scalable evaluations. The benchmark spans 𝟭𝟬 𝗜𝗻𝗱𝗶𝗰 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀 and 𝟭𝟲 𝗱𝗼𝗺𝗮𝗶𝗻𝘀, featuring over 𝟭𝟮𝟬,𝟬𝟬𝟬 𝗷𝘂𝗱𝗴𝗺𝗲𝗻𝘁𝘀 from 𝟭,𝟵𝟬𝟬 𝗻𝗮𝘁𝗶𝘃𝗲 𝘀𝗽𝗲𝗮𝗸𝗲𝗿𝘀. Gemini 2.5 Pro TTS emerged as the overall winner, while models like Bulbul v3 Beta excelled in complex domains like STEM. We found that users prioritize expressiveness and engagement over minor technical flaws once basic audio quality is met. “This work was a result of collaboration with 𝗝𝗼𝘀𝗵 𝗧𝗮𝗹𝗸𝘀. We are super grateful to all the contributors who made this work possible. 𝗪𝗲 𝗶𝗻𝘃𝗶𝘁𝗲 𝘁𝗵𝗲 𝘀𝗽𝗲𝗲𝗰𝗵 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝘆 𝘁𝗼 𝗲𝘅𝗽𝗹𝗼𝗿𝗲 𝘁𝗵𝗲 𝗱𝗮𝘁𝗮𝘀𝗲𝘁 𝗮𝗻𝗱 𝘀𝗵𝗮𝗿𝗲 𝗳𝗲𝗲𝗱𝗯𝗮𝗰𝗸.” 𝗣𝗮𝗽𝗲𝗿: https://lnkd.in/gd3MvTmb 𝗗𝗮𝘁𝗮𝘀𝗲𝘁: https://lnkd.in/gFUYb4ca Srija Anand Ashwin Sankar Ishvinder Sethi Aaditya Pareek Kartik Virendra Rajput Nikhil Narasimhan Adish Pandya Deepon H. Mohammed Safi Ur Rahman Khan S V Praveen Shobhit Banga Mitesh Khapra

We’re proud to share that Prof. Balaraman Ravindran, Head, Wadhwani School of Data Science and AI (WSAI), IIT Madras, and Prof. Mitesh Khapra, Professor, WSAI; Head, AI4Bharat, have been featured in the prestigious MIT Sloan India AI 50 list. Ahead of MIT Sloan Management Review’s debut AI Research Forum (AIRF) in India, the AI50 list recognizes leaders who are shaping the future of Artificial Intelligence through contributions to research, innovation, deployment and governance. This recognition reflects the work WSAI is undertaking to advance AI research for a better society. Meet the MIT Sloan India AI 50 here: https://lnkd.in/gxg64z2d #WSAI #IITMadras #AI50 #MITSloan #ArtificialIntelligence #ResponsibleAI #AIResearch #Innovation #LeadershipInAI #IndiaAI Karthik Raman | Mitesh Khapra | SRIDHAR R | MIT Sloan Management Review India | IndiaAI Mission | Robert Bosch Centre for Data Science and Artificial Intelligence (RBCDSAI) | IBSE: Centre for Integrative Biology and Systems medicinE | AI4Bhārat | Centre For Responsible AI (CeRAI) | Walmart Center for Tech Excellence | Indian Institute of Technology, Madras | Ministry of Education, Government of India, New Delhi

We are hiring! 🚀 We are looking for a talented iOS Developer (Swift) Intern to help build next-generation, AI-powered mobile experiences for Indian languages. You will work with native iOS frameworks, C++ integration, and on-device machine learning (CoreML) to build applications that will help millions of people communicate across the country. Please apply here : https://lnkd.in/gc3DHgV2 Mitesh Khapra Anoop Kunchukuttan Wadhwani School of Data Science and AI, IIT Madras Indian Institute of Technology, Madras

🎉 We are thrilled to announce the launch of 𝗜𝗻𝗱𝗶𝗰𝗦𝘄𝗶𝗽𝗲! 🇮🇳 Typing in native languages should be just as fast and fluid as English. That’s why we built IndicSwipe the 𝗳𝗶𝗿𝘀𝘁 𝗳𝘂𝗹𝗹𝘆 𝗼𝗽𝗲𝗻-𝘀𝗼𝘂𝗿𝗰𝗲 𝗴𝗲𝘀𝘁𝘂𝗿𝗲-𝘁𝘆𝗽𝗶𝗻𝗴 (𝘀𝘄𝗶𝗽𝗲) 𝗸𝗲𝘆𝗯𝗼𝗮𝗿𝗱 designed exclusively for India! It natively 𝘀𝘂𝗽𝗽𝗼𝗿𝘁𝘀 𝟮𝟮 𝗜𝗻𝗱𝗶𝗮𝗻 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀 across multiple scripts (including Devanagari, Bengali, Tamil, Telugu, Ol Chiki, and more). Prefer to type in Hinglish or Tanglish? It fully supports Roman output modes as well! 📱 𝗧𝗿𝘆 𝗶𝘁 𝗼𝘂𝘁 𝗻𝗼𝘄: Available to download on the Google Play Store! https://lnkd.in/gWJZZ4aE We strongly believe in open innovation and AI accessibility. That's why we are making the entire project completely open-source: 💻 𝗖𝗼𝗱𝗲 & 𝗡𝗲𝘂𝗿𝗮𝗹 𝗠𝗼𝗱𝗲𝗹𝘀: You can find the complete Android source code and our first-of-their-kind trained gesture swipe models on our GitHub repository : https://lnkd.in/gkzEhBNt This is just our first iteration, and many improvements will follow. We'd love for you to try it out and share your feedback. Let's make typing in Indic languages faster for everyone! 🚀 📝 Share your feedback here: https://lnkd.in/gfHrBcN4 More features coming soon! Srihari S Thanmay Jayakumar RajDabre Mitesh Khapra Wadhwani School of Data Science and AI, IIT Madras Indian Institute of Technology, Madras #IndicSwipe #OpenSource #AndroidDevelopment #AndroidDev #MachineLearning #Kotlin #IndicLanguages #AI4Bharat #MobileAppDevelopment #TechForIndia #OpenInnovation

Join us at the WSAI Annual Research Showcase 2026 to explore ongoing research and emerging work in AI and Data Science. The showcase brings together researchers, students, faculty members and industry professionals to interact, exchange ideas and learn about the diverse work happening across WSAI and IIT Madras. We also have some fun activities planned for participants. 📍 IC&SR Exhibition Hall, IIT Madras 📅 May 18, 2026 ⏰ 2:30 PM – 5:30 PM Register before May 16, 2026 | 10 AM Register now: https://lnkd.in/gsqY-WVv Know more: https://lnkd.in/gyuKVxCq #WSAI #IITMadras #ArtificialIntelligence #DataScience #AIResearch #Innovation #ResearchShowcase #MachineLearning #DeepLearning #TechInnovation #AICommunity #ResearchAndInnovation #FutureOfAI #AcademicResearch #IndustryInnovation Balaraman Ravindran | Karthik Raman | SRIDHAR R | Mitesh Khapra | Raghunathan Rengasamy | Gitakrishnan Ramadurai | Balaji Srinivasan | Nandan Sudarsanam | Arun Rajkumar | Chandra Shekar Lakshminarayanan | Harish Guruprasad Ramaswamy | Ganapathy Krishnamurthi | Krishna Pillutla | Agastya P Bhati | Nirav Bhatt | Lakshmi Narasimhan Theagarajan | Suman Kundu, Ph.D. | Vinkle Srivastav | Suryanarayana Sankagiri | Centre For Responsible AI (CeRAI) | IBSE: Centre for Integrative Biology and Systems medicinE | Robert Bosch Centre for Data Science and Artificial Intelligence (RBCDSAI) | The MInT Collaborative | AI4Bhārat | Walmart Center for Tech Excellence | Indian Institute of Technology, Madras

The Wadhwani School of Data Science and AI, IIT Madras is gearing up for its Annual Research Showcase this May — our flagship event that celebrates innovation, discovery, and impactful research. Join us as we bring together faculty, researchers, students, and collaborators to showcase cutting-edge work across AI, data science, responsible AI, and interdisciplinary research. Stay tuned for a day of ideas, insights, and inspiring conversations that reflect our commitment to advancing research for real-world impact. Watch this space as we have more exciting updates! Details of the event 🗓️ May 18, 2026 📍 Exhibition Hall, ICSR, IIT Madras ⏲️ 2:30 P.M. Onwards Click here to register: https://lnkd.in/gsqY-WVv Know more about us: https://wsai.iitm.ac.in/ Balaraman Ravindran | Karthik Raman | SRIDHAR R | Mitesh Khapra | Raghunathan Rengasamy | Gitakrishnan Ramadurai | Balaji Srinivasan | Nandan Sudarsanam | Arun Rajkumar | Chandra Shekar Lakshminarayanan | Harish Guruprasad Ramaswamy | Ganapathy Krishnamurthi | Krishna Pillutla | Agastya P Bhati | Nirav Bhatt | Lakshmi Narasimhan Theagarajan | Suman Kundu, Ph.D. | Vinkle Srivastav | Suryanarayana Sankagiri | Centre For Responsible AI (CeRAI) | IBSE: Centre for Integrative Biology and Systems medicinE | Robert Bosch Centre for Data Science and Artificial Intelligence (RBCDSAI) | The MInT Collaborative | AI4Bhārat | Walmart Center for Tech Excellence | Indian Institute of Technology, Madras

🎉 We are happy to share that our paper titled “Towards Orthographically-Informed Evaluation of Speech Recognition Systems for Indian Languages” has been accepted for presentation at the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) Conference 🎉 We’ll be presenting our work at: 📍 Poster Area 27 (PA-27.8)- 4:30 to 6:30pm 📜 Dropping the link: https://lnkd.in/gNvzrHY7 This work explores how considering variations of words and phrases in different languages results in more meaningful evaluation of speech recognition systems across Indian languages. If you’re attending ICASSP, do drop by our poster — We would love to connect, discuss the work, and hear your thoughts! #ICASSP #SpeechRecognition #AI #MachineLearning #IndianLanguages #Research Mitesh Khapra | Tahir Javed | Kaushal Bhogale | Greeshma Susan John