SIH26097SoftwareMinistry of Social Justice and Empowerment (MoSJE)

AI-Driven voice Assistant for livelihood Mapping and NSQF-Aligned Skilling Recommendations for SC Communities under GIA component of PM-AJAY

Background

• The Pradhan Mantri Anusuchit Jaati Abhyuday Yojana (PM-AJAY) aims to reduce poverty among Scheduled Caste (SC) communities through livelihood promotion, skill development, and enterprise support under its Grant-in-Aid (GIA) component. A major challenge in implementation is the identification of appropriate skill training pathways that align with both the aspirations of beneficiaries and the actual livelihood opportunities available in their local regions. • Many target beneficiaries face barri

The Ask

The proposed solution should be an AI-driven, multilingual, voice-based virtual livelihood assistant that can conducting conversational interviews with beneficiaries from aspirational SC communities.

Real Struggle

Many target beneficiaries face barri

Expected Solution

The proposed solution should be an AI-driven, multilingual, voice-based virtual livelihood assistant that can conducting conversational interviews with beneficiaries from aspirational SC communities. Instead of relying on traditional form-filling methods, the system should use voice interactions to collect information such as: • Educational

Instead of relying on traditional form-filling methods, the system should use voice interactions to collect information such as:
Existing or traditional family occupations
Current livelihood activities
Skills and interests
Mobility and physical constraints
Preference for self-employment or wage employment
Local economic realities and opportunities The assistant should support regional languages and dialects to ensure accessibility for users with low literacy or limited digital exposure. The...
Suitable NSQF-aligned training programs