AI RFP Management System

An intelligent procurement automation platform that uses Groq LLaMA-3.3-70B, Node.js, MongoDB, and Angular to streamline the entire RFP lifecycle—creation, scoring, vendor matching, and report generation.

Overview

The AI RFP Management System enables companies to automate:

• AI-based RFP creation
• Vendor scoring & evaluation
• Dashboard analytics
• PDF/AI reports
• End-to-end procurement workflow

Built with:

• Backend: Node.js + Express
• Frontend: Angular
• Database: MongoDB Atlas
• AI Engine: Groq LLaMA-3.3-70B

Project Screenshots

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Features

1. AI-powered RFP Generation

• User enters natural language text
• Groq AI extracts:
  • Title
  • Budget
  • Description
  • Requirements
  • Payment terms
  • Timeline

2. Vendor Management

• Add vendors
• View category, experience, rating
• Maintain vendor database

3. Vendor Matching System

Smart scoring engine evaluates vendors based on:

• Technical fit
• Budget fit
• Experience
• Timeline
• Risk factor

4. AI & Simple Report Generation

• Simple Summary Report → No AI required
• AI Report → 100-word evaluation from LLaMA-3.3-70B
• PDF Export

5. Dashboard Analytics

• Total RFPs
• Total vendors
• Active RFPs
• Avg budget

Workflow Diagram

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[PLACEHOLDER: SYSTEM ARCHITECTURE IMAGE]

System Architecture

Angular Frontend  ⇆  Express Backend  ⇆  MongoDB Atlas
                              ⇣
                         Groq AI API

Backend Structure

backend/
├── controllers/
│   ├── rfpController.js
│   ├── vendorController.js
│   └── reportController.js
│
├── models/
│   ├── Rfp.js
│   └── Vendor.js
│
├── routes/
│   ├── rfpRoutes.js
│   ├── vendorRoutes.js
│   └── reportRoutes.js
│
├── config/
│   └── db.js
│
├── server.js
└── .env

Backend File Responsibilities

server.js

• Initializes Express
• Loads routes
• Connects to MongoDB

db.js

• Database connection logic

models/

• Rfp.js - Stores:

  • title
  • budget
  • requirements
  • deadline
  • paymentTerms
  • selectedVendors

• Vendor.js - Stores:

  • name
  • email
  • phone
  • category
  • experience
  • rating

controllers/

• rfpController: AI extraction + CRUD
• vendorController: Vendor CRUD
• reportController: Report (AI & simple)

Frontend Structure (Angular)

frontend/
├── app/
│   ├── dashboard/
│   ├── rfp-create/
│   ├── rfp-list/
│   ├── vendor-list/
│   ├── report-view/
│   ├── services/
│   │     ├── rfp.service.ts
│   │     ├── vendor.service.ts
│   │     └── report.service.ts
│   └── app.routes.ts
│
└── index.html

Component Responsibilities

dashboard/

• Shows statistics
• Displays recent RFPs + vendors

rfp-create/

• Natural language input
• AI generates structured RFP

rfp-list/

• View all RFPs
• Actions: View / Generate report / Delete

vendor-list/

• Vendor cards
• Experience, rating, category

report-view/

• Tabs:
  • Vendor Matches
  • Detailed Scoring
  • Simple Summary
• Download PDF

Complete Workflow

Step 1 — Create RFP

User enters plain English description
↓
Groq AI extracts structured data
↓
Stored into MongoDB
↓
Displayed on dashboard

Step 2 — Add Vendors

Admin adds vendor details
↓
Stored into database

Step 3 — Vendor Matching

System calculates:

• Scoring
• Ranking
• Fit percentage

Step 4 — Reports

User selects:

• Simple Report
• AI Report
• PDF Export

API Documentation

Base URL

http://localhost:5000/api

RFP APIs

Create RFP using AI

POST /api/rfp/ai

Body:

{
  "text": "I need 20 laptops..."
}

Get all RFPs

GET /api/rfp

Delete RFP

DELETE /api/rfp/:id

Vendor APIs

Add Vendor

POST /api/vendor

Body:

{
  "name": "Dell Pvt Ltd",
  "category": "IT Hardware",
  "experience": 10,
  "rating": 4.5
}

Get Vendors

GET /api/vendor

Report APIs

Simple Report (No AI)

GET /api/report/simple/:rfpId

AI-Powered Report

GET /api/report/ai/:rfpId

PDF Download

GET /api/report/pdf/:rfpId