Yojana Sathi Ai

AI-driven multilingual platform to help citizens discover and understand government schemes tailored to their profiles.

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🚀 About the Project – CiviTech

🌟 Inspiration

The idea for CiviTech came from a real-life incident.

One day, I visited an eMitra center. While I was there, an elderly man came in, hoping to apply for a government scheme. He looked confused but hopeful.

He requested help from the operator.

But the operator replied:

“I don’t have time right now, there’s too much work.”

The old man quietly left.

No help. No information. No benefit.

That moment made us realize:

Many people still depend on others to access schemes

Information is not easily understandable

Rural citizens often get ignored due to lack of time or awareness

We thought:

“What if everyone had their own assistant to guide them instantly?”

That’s how Yojana Sathi AI was born.

🤖 What is Yojana Sathi AI?

Yojana Sathi AI is like a personal guide for government schemes.

It helps users:

Find the right schemes

Understand them in simple language

Know how to apply step-by-step

No confusion. No dependency.

💡 Core Idea (Simple Explanation)

Instead of making users search through hundreds of schemes, Yojana Sathi AI does the work for them.

👉 User tells their details or asks a question 👉 AI understands it 👉 Shows only relevant schemes 👉 Explains everything clearly

In simple words:

“Don’t search for schemes — let the right schemes find you.”

🔑 Main Highlights

🧩 Core Features

✅ Personalized scheme recommendations

✅ AI-based eligibility matching

✅ Multilingual support (Hindi + regional languages)

✅ Natural language query (ask like chatting)

✅ Simplified explanations (no technical jargon)

✅ Step-by-step application guidance

✅ Voice support for accessibility

📥 Input

User can provide:

Age

Income

Location

Occupation

Category (if applicable)

OR simply ask:

“Mujhe kaun si yojana milegi?” “Which schemes can I apply for?”

🔍 Query Handling

Yojana Sathi AI:

  1. Understands user question (NLP)

  2. Extracts important details

  3. Matches with scheme conditions

  4. Filters only relevant schemes

📤 Output

User gets:

🎯 List of eligible schemes only

📄 Benefits explained in simple language

📋 Required documents

🪜 Step-by-step application process

🛠️ How We Built It

🧩 Tech Stack

Frontend:

React.js, Tailwind CSS

Backend:

Node.js + FastAPI

AI Engine (Yojana Sathi AI):

Natural Language Processing

Recommendation system

Multilingual translation

Database:

PostgreSQL (Supabase)

Cloud:

Docker, AWS

📚 What We Learned

Building AI for real-world problems

Importance of simplicity in design

Working with multilingual systems

Handling unstructured government data

Creating solutions for rural users

⚔️ Challenges We Faced

📊 Data Problems

Scheme data is scattered and not structured

🌐 Language Issues

Translating and simplifying accurately

🤖 AI Accuracy

Avoiding wrong recommendations

🧑‍🌾 Accessibility

Making it usable for elderly and rural users

🔗 Integration

Lack of real-time government APIs

🚀 Future Scope

Live government API integration

AI voice assistant

Smart recommendations based on life stages

Offline support for villages

Secure document verification

🎯 Conclusion

That one incident at the eMitra center represents a much bigger problem.

With Yojana Sathi AI, we aim to ensure:

No one is denied access to government schemes because someone else didn’t have time.

CiviTech is not just a project— it’s a step toward empowering every citizen with knowledge and independence.

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