Loans Compendium

A comprehensive repository of government loan schemes from both Central and State governments in India. This compendium provides structured information about various loan programs, their eligibility criteria, application processes, and contact details.

Repository Structure

loans-copendium/
├── AP-Governement/          # Andhra Pradesh State Government Schemes
│   ├── Scheme-1.md         # Agricultural Loan Scheme
│   └── Scheme-2.md         # Micro-enterprise Development Scheme
├── Central-Government/      # Central Government Schemes
│   ├── Scheme-1.md         # Pradhan Mantri Mudra Yojana
│   └── Scheme-2.md         # Pradhan Mantri Kisan Sampada Yojana
└── README.md               # This documentation file

Data Structure

Each scheme document follows a standardized format with:

1. YAML Front Matter (Metadata Block)

All documents contain structured metadata in YAML format at the beginning, enclosed between --- markers:

---
title: "Scheme Name"
description: "Brief description of the scheme"
category: "government-level"
government_level: "state|central"
state: "State Name or all-states"
scheme_type: "loan"
target_audience: "target-group"
loan_amount_min: 50000
loan_amount_max: 500000
interest_rate: 4.5
tenure_years: 5
eligibility_criteria:
  - "Criteria 1"
  - "Criteria 2"
required_documents:
  - "Document 1"
  - "Document 2"
application_process:
  - "Step 1"
  - "Step 2"
contact_info:
  office: "Office Name"
  phone: "Phone Number"
  email: "Email Address"
  website: "Website URL"
last_updated: "2024-01-15"
status: "active"
---

2. Markdown Content

After the metadata block, each document contains detailed information in Markdown format including:

• Overview
• Key Features
• Loan Details
• Eligibility Requirements
• Required Documents
• Application Process
• Benefits
• Contact Information
• Important Notes

Parsing the Data

To parse the scheme documents, you need to:

1. Extract YAML Front Matter: Parse the metadata block between the --- markers at the beginning of each document
2. Parse Markdown Content: Extract the markdown content after the metadata block
3. Convert to Desired Format: Transform the data into your application's required format (JSON, HTML, etc.)

General Approach

1. Split the document at the --- markers to separate metadata from content
2. Parse YAML metadata using a YAML parser for your programming language
3. Process markdown content using a markdown parser if HTML output is needed
4. Query and filter based on metadata fields as needed

Common Use Cases

• Filter by government level: Find all central or state government schemes
• Search by loan amount: Find schemes within specific loan amount ranges
• Filter by target audience: Find schemes for specific groups (farmers, entrepreneurs, etc.)
• Search by interest rate: Find schemes with competitive interest rates
• Filter by state: Find schemes applicable to specific states

Metadata Fields Reference

Field	Type	Description	Example
title	String	Name of the scheme	"AP Government Scheme 1"
description	String	Brief description	"Comprehensive loan scheme..."
category	String	Category classification	"state-government"
government_level	String	Level of government	"state" or "central"
state	String	Applicable state	"Andhra Pradesh" or "all-states"
scheme_type	String	Type of scheme	"loan"
target_audience	String	Target group	"farmers", "entrepreneurs"
loan_amount_min	Integer	Minimum loan amount	50000
loan_amount_max	Integer	Maximum loan amount	500000
interest_rate	Float	Interest rate percentage	4.5
tenure_years	Integer	Maximum tenure in years	5
eligibility_criteria	Array	List of eligibility requirements	["Must be resident", "Age 18-65"]
required_documents	Array	List of required documents	["Aadhaar Card", "PAN Card"]
application_process	Array	Steps in application process	["Visit office", "Fill form"]
contact_info	Object	Contact details	{office: "Name", phone: "123"}
last_updated	String	Last update date	"2024-01-15"
status	String	Scheme status	"active"

Contributing

When adding new schemes to this repository:

1. Follow the established metadata structure
2. Use consistent field names and data types
3. Include all required metadata fields
4. Provide comprehensive markdown content
5. Update this README if adding new metadata fields

License

This project is licensed under the MIT License - see the LICENSE file for details.