Someone’s life can change because of a government scheme, but only if they know it exists, understand whether they qualify, and can figure out how to apply.

That’s where the real problem often begins.

Different government websites, unfamiliar language, or an assumption that the user already understands the system — any of these can stand between a person and information about public benefits. People may end up missing support they’re eligible to receive, not because the benefit is unavailable, but because the path to it is unclear.

Making that path easier was the goal behind Yojana Sahayak.

Scheme discovery, eligibility information, benefits, required documents, application guidance, multiple languages, and AI-assisted support all come together in one place on the platform.

Public benefits should be easier to discover, easier to understand, and easier to access.

The idea behind the platform

Simply building another government-scheme directory was never the central idea behind Yojana Sahayak.

Reducing the distance between a person and the support available to them was.

Finding a scheme is often only part of the difficulty for many users. They may also need to understand:

  • Whether the scheme applies to their situation.
  • What benefit it provides.
  • Which documents are required.
  • Where the application should be submitted.
  • What steps come next.
  • Whether the information is available in a language they are comfortable using.

These questions shaped the design of Yojana Sahayak, which treats scheme information as a guided journey rather than a collection of disconnected pages.

One place to begin

Exploring government schemes and understanding the information that matters most — that’s what the platform gives users a central place to do.

Rather than sending users across multiple portals to interpret official terminology on their own, key details get brought together:

  • Scheme benefits.
  • Eligibility requirements.
  • Required documents.
  • Application process.
  • Relevant departments or authorities.
  • Additional guidance and frequently asked questions.

Making the first step less intimidating, and helping users move from general awareness toward a clearer understanding of what they can do next, was the purpose.

Designed for real questions

Departments, programmes, or administrative categories often organise government information. People usually approach it differently.

Questions such as these tend to come up:

  • “What support can I get for my family?”
  • “Which schemes are available for students?”
  • “Can I apply if I live in this state?”
  • “What documents do I need?”
  • “Is there any assistance for my occupation or situation?”

This more natural way of seeking information shaped how Yojana Sahayak was designed. Users can browse and understand schemes on the platform without needing to know the official name or department before they begin.

The data challenge

The quality of the information behind the platform determined the quality of the experience in front of it.

Government scheme data isn’t usually available in one consistent format. Details may be spread across different websites, pages may follow different structures, and important information may be presented with inconsistent wording or organisation.

An automated data-collection and processing pipeline built with Playwright supports the platform. It gathered relevant information from government websites and transformed it into structured data that could be used by the application.

Part of the project’s delivery to the client was this pipeline, giving them an underlying system for continuing to maintain and expand their scheme-data workflow.

From scattered pages to structured information

A clear path guided the data workflow:

Government websites → Automated collection → Data extraction → Processing and structuring → Platform-ready scheme information

Consistent presentation became possible for the frontend because of this foundation, even when the original sources were organised differently.

Updating scheme information also got easier without redesigning the entire product, since the data pipeline stayed separate from the user interface.

Language should not be another barrier

Eight languages are supported by Yojana Sahayak.

A core product decision, not an additional feature added at the end, this was. A platform remains inaccessible to everyone else if important public-benefit information is only understandable to people comfortable with one language.

Exploring schemes and asking questions in a way that feels more familiar becomes possible with multilingual support. People who are comfortable speaking a regional language, but less confident reading formal or technical information in English, find the platform more suitable as a result.

An assistant that explains, not overwhelms

To help users interact with scheme information more naturally, the platform includes an AI assistant.

Users can ask questions through text or voice and receive guidance about the schemes available on the platform — an alternative to navigating long pages, searching for exact keywords, or trying to understand administrative language independently.

Making information easier to approach and explore is the intent behind the assistant. It helps users ask follow-up questions, clarify requirements, and understand the next step in the process.

A complete user journey

Several stages that are often kept separate get connected by Yojana Sahayak:

Discover → Understand → Check relevance → Prepare documents → Learn how to apply

A user might begin by searching for a type of support, open a relevant scheme, review its eligibility requirements, check the required documents, and then use the assistant to clarify any uncertainty.

Designing an experience around access, rather than simply publishing information, makes the difference here.

Building the product layer

As a full-stack application, the platform was developed.

The user-facing experience comes from the React frontend, while the supporting infrastructure manages scheme data, application content, updates, and assistant interactions. Different parts of the platform’s data requirements are supported by PostgreSQL and MongoDB, while Redis provides a foundation for faster access and application workflows.

Keeping complex data and processing work behind a straightforward interface was the design intent.

Outcome

Scheme discovery, structured government information, multilingual access, and AI-assisted guidance all came together in one platform through Yojana Sahayak.

Two connected outcomes came out of the project:

  1. A user-facing product designed to make government schemes easier to discover and understand.
  2. An automated data-collection pipeline delivered to the client for maintaining the scheme-information foundation.

A practical public-service problem is what the platform ended up addressing: helping people get from “I may be eligible for support” to “I understand what this scheme offers and what I need to do next.”

Built around access, not just information

How much information a public-service platform contains shouldn’t be the only measure of its success.

How easily someone can use that information matters just as much.

That distinction guided how Yojana Sahayak was built. Reproducing government portals in another interface was never the goal — creating a simpler starting point for people who may not know where to search, what terms to use, or how to interpret the process once they find a scheme was.

A platform built to reduce the information and process barriers between people and the government benefits available to them.

Project highlights

  • Built a multilingual government-scheme discovery platform.
  • Supported access across eight languages.
  • Organised scheme benefits, eligibility, documents, and application guidance in one experience.
  • Developed an automated government-data collection pipeline using Playwright.
  • Delivered the scraping and processing pipeline to the client.
  • Added AI-assisted guidance through text and voice interaction.
  • Created a React-based user interface focused on discoverability and clarity.
  • Combined PostgreSQL, MongoDB, and Redis across the platform infrastructure.
  • Designed the product around the complete journey from discovery to application guidance.
  • Built a foundation for expanding scheme coverage and future public-service workflows.