Proposed Workshop (17 January 2026) Details

 

Workshop Topic

Duration

(Time is in IST)

Expert Speaker

AI Hands-on Workshop (Topic to be Determined)

1 hour: 11:00 AM to 12:00 PM

Ayush Maheshwari, Senior Solution Architect, NVIDIA

AI Hands-on Workshop (Topic to be Determined)

1 hour: 12:00 PM to 1:00 PM

Prof. Ram Bilas Pachori, IIT Indore

 

Proposed Hackathon (17-18 January 2026) Details

 

 

Sub-theme of AI for Inclusion

Problem Statement

Features

AI for Financial Literacy in Rural Areas

 

Build an AI-powered chatbot or voice assistant that provides financial education and guidance in local languages

      Features could include explaining banking terms, helping users understand loans, savings, and investments, or guiding users through government financial schemes.

      Integrate offline or low-connectivity modes for remote areas

Multilingual and Multimodal Accessibility Tools

Develop AI tools that break language and sensory barriers to make technology accessible to all

      Real-time sign language translator, Braille conversion apps, text-to-speech in multiple local languages.

      Use AI to simplify complex text for better understanding by people with cognitive disabilities.

AI Tutors for Schools

Design AI tutors that offer personalized support to students, focusing on weak areas and providing feedback

      Adaptive learning paths, doubt-solving chatbots, or virtual classroom assistants.

      Support for multiple languages and real-time performance tracking for teachers and parents

Bias-Free AI for Recruitment

Build AI recruitment tools that ensure fairness by eliminating bias in candidate screening and evaluation.

      Blind screening, diversity-promoting algorithms, and transparency reports for hiring managers.

      Tools to assess skills fairly regardless of socioeconomic or cultural background.

 

AI for Energy Saving

Build an AI system for analyzing and reducing a building’s energy consumption through personalized recommendations.

      Analyze energy consumption data of a building and a recommendation engine to suggest specific actions.

      Gamification elements to encourage behavioral change to reduce energy wastage.