Скачать или смотреть RedConnect: Full-Stack and ML-Enabled Centralized Blood Request System - Capstone project

RedConnect – Smart Blood Donation & Emergency Response System | ML-Powered Urgency Predictor

RedConnect is a centralized blood management platform designed to streamline:
• Blood Requests
• Donor Registrations
• Admin Monitoring
• ML-Based Urgency Prediction

The system uses a 2500+ row synthetic dataset and a lightweight KNN-inspired ML model to classify blood request urgency into: Critical, High, Medium, and Low. This helps administrators quickly identify and prioritize emergency cases.

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KEY FEATURES
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USER MODULE
• Register / Login
• Add donor details
• Request blood
• Track personal requests
• Receive automatic donor match notifications

ADMIN MODULE
• View all donors and requests
• Track logs and activity
• Analyze blood type distribution
• Manage users
• View ML urgency score for each request

SYSTEM FEATURES
• Real-time similarity-based donor matching
• Fuzzy matching using Levenshtein distance
• ML-powered urgency prediction
• Email notifications via Nodemailer (Gmail SMTP)
• Analytics dashboard
• Fully responsive UI (HTML, CSS, JavaScript)
• Lightweight JSON-based database

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MACHINE LEARNING COMPONENT
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A synthetic dataset (2500 rows) includes:
• City tier (Metro / Tier-2 / Tier-3 / Village)
• Units required
• Matching donors found

A custom KNN-style model computes urgency using weighted similarity.
Urgency Levels:
• Critical (80–100)
• High (60–79)
• Medium (40–59)
• Low (0–39)

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TECH STACK
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Frontend: HTML, CSS, JavaScript
Backend: Node.js, Express.js
Machine Learning: Custom JS-based KNN urgency predictor
Database: JSON (db.json)
Email Service: Nodemailer (Gmail SMTP)

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TEAM MEMBERS
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• Dharma Reddy Polam
• Sathvika Nellutla
• Sairam Reddy Aileni
• Vaishnavi Pingili

Special Thanks:
Rajchandar K SRU for guidance and support.

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