AI Leader Agent
Core Function
Strategic Planning & Opportunity Identification
Key Responsibilities
Analyzes local industry demand data, identifies emerging skill gaps, and proposes the creation of new training modules, community pods, or DAOs.
Example Action
Detects a surge in demand for drone technicians in the agricultural belts of Punjab and initiates a proposal to create a new "Agri-Drone" training module and DAO.
AI Marketing Agent
Core Function
Automated Amplification & Growth Hacking
Key Responsibilities
Generates and disseminates success stories, manages public reputation of ITIs and individuals, and amplifies achievements to attract new members and business opportunities.
Example Action
A student from ITI Nagpur wins a national robotics competition. The agent creates a post with video highlights and shares it with all engineering pods and MSME business communities in Maharashtra.
AI Compliance Agent
Core Function
Regulatory Adherence & Trust Assurance
Key Responsibilities
Operated by "Official Communities" (e.g., MSDE), it monitors all platform activities to ensure adherence to platform policies, data privacy laws, tax regulations, and labor laws.
Example Action
Flags a DAO's proposed smart contract for a cross-border gig for not being compliant with FEMA regulations and suggests a compliant payment routing.
AI Gig Matching Agent
Core Function
Talent-to-Opportunity Orchestration
Key Responsibilities
Scans all posted "gigs" and Work Integrated Learning Projects (WILPs), and matches them with the most suitable ITI students based on skills, Trust Score, availability, and location.
Example Action
A local furniture maker in Saharanpur posts a gig for a CNC machine operator. The agent identifies three qualified students from the local ITI and sends them a notification with the job details and expected pay.
RAG-Based Policy Interpreter
Core Function
Governance & Decision Classification
Key Responsibilities
Uses Retrieval-Augmented Generation (RAG) to interpret community bylaws and national policies, classifying proposed actions as "Routine" (for AI execution) or "Crucial" (triggering human-in-the-loop vote).
Example Action
An AI Leader proposes merging two DAOs. The RAG agent retrieves the DAO's constitution, identifies this as a "crucial" economic decision, and triggers the governance workflow for a human vote.
Spatial AI & Gurukul-XR Platform
This no-code platform empowers ITI instructors, regardless of their technical skills, to create and deploy immersive 3D training modules in as little as 16 minutes.
Students can practice complex procedures dozens of times in a virtual environment, receiving AI-driven feedback on their technique, without consuming expensive materials or facing physical risks.
Digital Twin IQ
Students training in Smart Manufacturing or Predictive Maintenance can work on a fully functional, virtual replica—a Digital Twin—of a sophisticated factory floor robot or CNC machine.
They can learn to operate, diagnose, and even predict mechanical failures in this simulated environment, acquiring skills that would be impossible to teach in the vast majority of physically under-equipped ITIs.
AI Avatars & Soft Skills Simulators
The platform provides 24/7 mentorship through AI-powered avatars that can answer student queries and provide guidance.
Simulators for soft skills development allow students to practice handling difficult customer service calls or workplace communication in a safe environment, addressing a key gap identified by employers.
