Financing Readiness Assessment & Matching System Development
Budget: $5,000 – $10,000 USD
Project Summary: Financing Readiness Assessment and Investor Matching System
Overview: The project involves developing a Financing Readiness Assessment and Investor Matching System designed to connect SMEs in Rwanda with investors.
Main Features:
- Scoring System: Calculates sector-specific scores for SMEs based on questionnaire responses, identifying financing readiness and gaps.
- Progress Tracking: Monitors SME submission status, payment progress, and vetting completion via dashboards.
- Profile Creation: Allows SMEs or Admins to create profiles with Business Name, Sector, and Contact Info.
- Sector-Specific Questionnaires: Tailored questions (e.g., Agriculture: “Crop Types?”, Retail: “Inventory Turnover?”) to assess SMEs.
- Multilingual Support: Interfaces in Kinyarwanda, English, and French for accessibility.
- PDF Report Generation: Produces downloadable reports with scores, gaps, recommendations, and vetted investor matches.
- Profile and Details Management: SMEs can edit profiles (e.g., Business Name, Governance) and request deletions, with Admin oversight.
- Document Upload: Supports PDF, JPEG, PNG uploads (max 10MB) with data extraction (e.g., financials from bank statements).
- Payment Management: Integrates MTN/Airtel Mobile Money for advisory service subscriptions, with payment status tracking.
- Matching Criteria (Critical Feature):
Ideal Developer Skills:
- Experience: Proven track record in building assessment and matching systems, ideally for business or financial applications.
- Multilingual Support: Expertise in integrating English, and French interfaces with seamless language toggling.
- Payment Systems: Strong experience with secure payment processing.
- Additional Skills: Proficiency in React, Node.js, Firebase, document extraction (Tesseract.js/Google Cloud Document AI), and WCAG accessibility standards.
This project aims to deliver a scalable, user-friendly platform that enhances SME financing readiness and investor connectivity , with a focus on robust matching logic and compliance.
Overview: The project involves developing a Financing Readiness Assessment and Investor Matching System designed to connect SMEs in Rwanda with investors.
Main Features:
- Scoring System: Calculates sector-specific scores for SMEs based on questionnaire responses, identifying financing readiness and gaps.
- Progress Tracking: Monitors SME submission status, payment progress, and vetting completion via dashboards.
- Profile Creation: Allows SMEs or Admins to create profiles with Business Name, Sector, and Contact Info.
- Sector-Specific Questionnaires: Tailored questions (e.g., Agriculture: “Crop Types?”, Retail: “Inventory Turnover?”) to assess SMEs.
- Multilingual Support: Interfaces in Kinyarwanda, English, and French for accessibility.
- PDF Report Generation: Produces downloadable reports with scores, gaps, recommendations, and vetted investor matches.
- Profile and Details Management: SMEs can edit profiles (e.g., Business Name, Governance) and request deletions, with Admin oversight.
- Document Upload: Supports PDF, JPEG, PNG uploads (max 10MB) with data extraction (e.g., financials from bank statements).
- Payment Management: Integrates MTN/Airtel Mobile Money for advisory service subscriptions, with payment status tracking.
- Matching Criteria (Critical Feature):
Ideal Developer Skills:
- Experience: Proven track record in building assessment and matching systems, ideally for business or financial applications.
- Multilingual Support: Expertise in integrating English, and French interfaces with seamless language toggling.
- Payment Systems: Strong experience with secure payment processing.
- Additional Skills: Proficiency in React, Node.js, Firebase, document extraction (Tesseract.js/Google Cloud Document AI), and WCAG accessibility standards.
This project aims to deliver a scalable, user-friendly platform that enhances SME financing readiness and investor connectivity , with a focus on robust matching logic and compliance.