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Aun Abbas

FAST · 2023 · i19-0435
Email
Phone
LinkedIn
GitHub

Academic

Program
CGPA
Year
2023
Education
Address
DOB

Career

Current role
Target role
Skills
Nodejs, React Native, MongoDB, IPFS, Ethereum

Verbatim text

The exact text the LLM saw on the page (or the booklet text from the old import). This is what powers semantic search.
MedChain
The objective of this project is to create a medical application that leverages blockchain technology to provide a secure, transparent, and efficient way to store and manage medical records. The application will be designed to ensure patient privacy, data integrity, and interoperability among different healthcare providers.
Features include:
User Registration: The application will allow patients and doctors to register and create their profiles with appropriate authentication and authorization mechanisms.
Integrated Google Fit: User's Vital information and physical activity such as heart rate, temperature and blood pressure as well as number of steps taken each day, is recorded and stored in medical records.
Blockchain-based Storage: The medical records will be stored in a blockchain, which will provide a decentralized and tamper-proof storage solution. The blockchain will be implemented using appropriate consensus algorithms, such Pow and PoS.
Access Control: The application will implement robust access control mechanisms to ensure that only authorized users can access the medical records. Patient can grant and revoke access of their health records.
Supervised By: Dr. Adnan Tariq
Group Members: Maryam Naveed i19-0426, Aun Abbas i19-0435, Maaz Tariq i19-0660
MedChain
A decentralized mobile application to create a user-focused electronic health record ecosystem -integrated with a smartwatch to track incentivized fitness goals
Architecture
Timeline
Technology Used: Nodejs, React Native, MongoDB IPFS, Ethereum
Supervisor Name: Dr. Adnan Tariq
Group Members: Maryam Naveed (i19 - 0426), Aun Abbas (i15 - 0435), Maaz Tariq (i19 - 0660)

AI enrichment

Aun Abbas is a student who contributed to a group project named MedChain, a decentralized mobile application for managing electronic health records using blockchain technology. The project involved integrating Google Fit data and smartwatch tracking with a backend built on Node.js, React Native, MongoDB, IPFS, and Ethereum.
Skills (AI)
["Node.js", "React Native", "MongoDB", "IPFS", "Ethereum", "Blockchain", "Smart Contracts", "Access Control", "Google Fit API"]
Status: ai_done
Provenance
Source file: FAST - School of Computing -Graduate Directory-2023.pdf
From job #14 page 310
Created: 1778112745