Case Study

BloodConnect

BloodConnect is a web-based platform that connects blood donors with those in need in a fast and structured manner. It provides an efficient solution to accelerate the blood search process while helping hospitals and the Indonesian Red Cross (PMI) monitor blood demand in real time.

Tech Stack

HapiJs

Vuejs

JavaScript

TailwindCSS

Contabo

Github

Figma

🔍 Key Features

🧠 Smart Demand Prediction Predicts potential donors based on medical history and activity patterns through donor eligibility questionnaires. Machine learning models are utilized to forecast future blood demand.

📍 Location-Based Blood Access Provides an interactive map displaying real-time blood stock availability and nearby donor locations, directly integrated with hospital and PMI data.

BloodConnect

Tech Stack

🔍 Key Features

🧠 Smart Demand Prediction Predicts potential donors based on medical history and activity patterns through donor eligibility questionnaires. Machine learning models are utilized to forecast future blood demand.

📍 Location-Based Blood Access Provides an interactive map displaying real-time blood stock availability and nearby donor locations, directly integrated with hospital and PMI data.

🤖 Chatbot Assistant An interactive chatbot available 24/7 to assist users with inquiries related to blood donation and platform usage.

🏅 Reward System Implements a point-based reward system for active donors, which can be redeemed for badges, incentives, or contribution statistics.