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BuildwithDelhi Idea Submission

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Published: 26 Jun 2024 › Updated: 26 Jun 2024BuildwithDelhi Idea Submission

BuildwithDelhi Idea Submission

Team Introduction
Team Name: The Encipher

Institute Name: ADGIPS

Theme: Healthcare

Team Lead: Muskan Singh

Team Members:
Muskan singh With a background in Electronics and Communication Engineering focusing on Computer Science and web development, i'm actively participated in 15 hackathons, winning several. An active member of TFUG Ghaziabad, CNCG New Delhi, and the Azure Developer Club, integrates a passion for technology with environmental conservation.

Jayan Gupta: Specializing in embedded systems and hardware integration, Jayan brings expertise in creating robust and efficient hardware solutions. Jayan has collaborated on various projects in the developer communities TFUG Ghaziabad and CNCG New Delhi.

Aqsa Praveen: Aqsa is a skilled full-stack developer with experience in both frontend and backend technologies. Active in the Azure Developer Club, Aqsa excels in creating seamless user interfaces and integrating complex backend functionalities.

Imran Abbas: Focused on data science and machine learning, Imran leverages data to drive insights and predictions. As a member of TFUG Ghaziabad and CNCG New Delhi, Imran has worked on multiple data-driven projects, enhancing their analytical skills.

Project Idea: Heart-Box

Problem Statement:
Cardiovascular disease is the leading cause of death in India (29%), but detection remains low. Widespread ECG testing and making it cost-efficient is crucial to improving cardiovascular health in India.

Solution:
Heart-Box is a compact and portable device designed to effortlessly capture ECG waves with just 3 modules, producing easily interpretable results. Harnessing the power of machine learning, it can predict the likelihood of cardiovascular diseases. It is convenient and cost-efficient, utilizing minimal effort and time.

Key Features:

Real-Time ECG Monitoring
Machine Learning Optimization
User-Friendly Interface
Portability and Mobility

Tech Stack:

Hardware Components: AD8232 ECG Sensor Module, Raspberry Pi Zero 2W, I2C OLED Display, MAX 30102 Pulse Oximeter Sensor Module
Software: Python

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