Develop a seamless, end-to-end digital and interactive onboarding journey for National Pension System (NPS) subscribers, supported by a simplified, secure, and compliant KYC process.
The objective of this problem statement is to design and develop a seamless, end-to-end digital and interactive onboarding journey for National Pension System (NPS) subscribers, supported by a simplified, secure, and fully compliant KYC process.

The solution should aim to reduce onboarding friction, improve user experience, and enhance trust while ensuring strict adherence to regulatory and data security requirements. Participants are encouraged to reimagine the onboarding flow to make it intuitive, accessible, and efficient for first-time and existing NPS subscribers.

This would involve the development of a centralized digital onboarding solution for NPS, integrating all key intermediaries under the NPS architecture, including Central Recordkeeping Agencies (CRAs), Pension Funds (PFs), and Points of Presence (PoPs).

The proposed solution may include features such as digital document capture, real-time KYC verification, Aadhaar or alternative ID-based authentication, consent-driven data sharing, multilingual user interfaces, and integration-ready APIs.

Teams should focus on building a proof-of-concept (PoC) or prototype that demonstrates technical feasibility, security, scalability, and readiness for real-world deployment within the NPS ecosystem.

Design a gamified platform to increase awareness, engagement, and motivation among young workers regarding NPS contributions and pension benefits.
The objective of this problem statement is to design and develop a gamified digital platform that increases awareness, engagement, and motivation among young workers regarding National Pension System (NPS) contributions and long-term retirement planning.
The solution should aim to simplify complex pension concepts and make financial planning more relatable, interactive, and engaging for early-career individuals. Participants are encouraged to use game mechanics to drive sustained interest, positive financial behavior, and regular pension contributions.
The proposed platform may include features such as reward systems, achievement badges, progress tracking, financial challenges, simulations, quizzes, leaderboards, and milestone-based incentives aligned with pension contribution goals.
The solution should also incorporate educational content on NPS benefits, compounding, retirement planning, and financial literacy in a simple and accessible format. Multilingual support and mobile-first design are strongly encouraged to maximize reach and inclusion.
Teams should build a proof-of-concept (PoC) or prototype that demonstrates user engagement, behavioral impact, scalability, and readiness for real-world deployment within the NPS ecosystem.

Create an interactive, user- friendly and predictive analytics tool such as Calculators that helps NPS subscribers estimate retirement corpus and pension outcomes under different contribution scenarios. The tool may include features such as estimating the required contribution for achieving a desired pension amount.
The objective of this problem statement is to design and develop an interactive, user-friendly, and predictive analytics tool that enables National Pension System (NPS) subscribers to estimate their retirement corpus and expected pension outcomes under different contribution scenarios.
The solution should aim to improve financial planning, transparency, and decision-making by allowing users to visualize how contribution amounts, investment horizons, and risk preferences impact long-term retirement outcomes. Participants are encouraged to simplify complex financial calculations into intuitive, easy-to-use digital experiences.
The proposed tool may include features such as retirement calculators, pension simulators, scenario comparison dashboards, goal-based planning, and estimators for the required monthly or annual contribution to achieve a desired pension amount.
The solution should also support dynamic inputs, real-time projections, and clear visualizations of growth, returns, and retirement timelines. Multilingual support and mobile-first design are encouraged to ensure accessibility and broad adoption.
Teams should build a proof-of-concept (PoC) or prototype that demonstrates accuracy, usability, scalability, and readiness for real-world deployment within the NPS ecosystem.

Build an AI-powered tool to assist NPS subscribers with queries, personalized pension guidance, and promote financial literacy across multiple regional languages**.**
The objective of this problem statement is to design and develop an AI-powered multilingual assistant that supports National Pension System (NPS) subscribers with real-time query resolution, personalized pension guidance, and financial literacy across multiple regional languages.
The solution should aim to improve accessibility, user engagement, and trust by enabling subscribers to easily understand NPS features, contributions, benefits, and retirement planning concepts in their preferred language. Participants are encouraged to leverage artificial intelligence, natural language processing (NLP), and conversational interfaces to create intuitive and inclusive user experiences.

The proposed assistant may include features such as chatbot or voice-based interfaces, FAQ automation, personalized pension recommendations, contribution reminders, retirement planning tips, and contextual financial education modules.
The solution should support multilingual text and voice interactions, consent-driven data usage, and secure handling of user information in compliance with regulatory and data protection standards.
Teams should build a proof-of-concept (PoC) or prototype that demonstrates accuracy, usability, scalability, and readiness for real-world deployment within the NPS ecosystem.