Lead Frontend Engineer | CS @ University At Buffalo

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Adnan Sadar  • Peerlist

wellSync is an AI-driven health monitoring system that helps patients, doctors, and healthcare staff track vitals, detect early risks, and receive proactive care recommendations. Key Features: - AI-Powered Health Monitoring – Tracks vitals from wearables and medical reports. - Proactive Alerts &amp; Recommendations – AI detects early warning signs and suggests interventions. - Doctor-Patient Collaboration – Enables seamless communication and data sharing. Built for the AI for Good Challenge 2025 We developed WellSync as part of the AI for Good Challenge 2025, hosted by the University at Buffalo’s Startup &amp; Innovation Collaboratory. Over a 2-day hackathon, we worked from scratch to bring this idea to life, focusing on both the technical and business aspects, from concept to pitch.

wellSync - AI Powered Health Monitoring

Investment research platform for users that displays financial data for 10000+ US stocks, accurate 10-year financial ratios, and advanced charting tools. Also created a personalized portfolio and watch list management dashboard.

Investors Engine

Designed using ReactJS, it also makes use of Redux Store to maintain the app state. The user has an option to create a  video stream, edit, delete a stream depending on whether the user is logged into the app.
Navigation between different pages has been done using React Router, OAuth based Authentication is done for logging in, Redux forms have been used for creating streams, a local json server is used where all the streams are stored locally.

ReactJS Video Streaming Web Application

This was my first year second semester project.
It is a home security system which uses Raspberry Pi 3, PIR sensor is used to detect the presence of an intruder using passive infrared rays which triggers the pi camera and captures the image and stores it in the firebase. You will receive an email containing pics of the intruder and also an alert on the Home Security app which we created. You just need to install this on the front door of your house and you're all set!

Home Security Using Raspberry Pi 3

The Customer Insights and Segmentation Dashboard is an interactive Streamlit app designed to help retail businesses derive actionable insights from customer data. At its core, the app features RFM Segmentation, a powerful framework to categorize customers and enhance business intelligence.

Customer Insights and Segmentation Dashboard

Designed using ReactJS with Context API for state management. Socket programming has been used to send and receive messages seamlessly in real-time.
AES256 algorithm is used for encryption/ decryption of messages, so that the user’s privacy is maintained.
Was responsible for designing the Front End of this application using ReactJS and integrating AES256 encryption.

E2E Encryption with MERN Chat Web Application

Designed using ReactJS, this App tracks the prices, market capitalization, volume and price change % making use of Coingecko api, using Axios to fetch data.
Array filter and map functions have been used to get matching crypto results as the user enters words in the search box.
React Hooks have been used throughout the code, dark mode functionality has been added, a contact form is also present  in case the user has any queries, EmailJS has been used to send the mail and formik2 for designing the form.
Object Destructuring has been used to pass the coin data as props to the child component.. React bootstrap is used for the styling.

Cryptocurrency Price Tracker

This is a Front-End Web Application that is designed using Javascript's React framework. Redux has been used to handle the application's state component along with Form handling and Action Creating using React Redux Form and Redux Thunk respectively.