SynapSense - Hack RU Spring 2025 Project

• 

  Logo

Inspiration

SynapSense was inspired by the need to better understand human behavior through intelligent monitoring systems. By leveraging neurotechnology, the project aims to bridge the gap between raw data and emotional responses, opening new possibilities for cognitive research and behavioral analysis. From mental health applications to enhancing human-computer interaction, SynapSense offers a novel approach to understanding humanistic behaviors.

What it does

SynapSense is a system that enables researchers and cognitive scientists to derive insights from human behavior through real-time data monitoring. It works by analyzing internet port traffic and storage activity, allowing inference on behavioral patterns in relation to sensor devices. This data can then be correlated with emotional responses, providing valuable insights into cognitive and psychological states. Potential applications include detecting signs of depression and addressing conditions such as spatial neglect.

How we built it

The system operates by capturing and analyzing network and storage activity from connected devices. The collected data is processed using Natural Language Processor(BERT) to infer behavioral insights. A backend system in C++ processes this information and presents it via a web app made with React.js, Node.js, Next.js, TypeScript, and Tailwind.

Challenges we ran into

One of the main challenges was ensuring accurate inference of human behavior from raw network and storage data. Correlating this data with emotional and cognitive states required extensive validation and tuning. Additionally, handling real-time data efficiently while maintaining privacy and security was a key consideration.

Accomplishments that we're proud of

We successfully developed a working prototype capable of monitoring network activity and deriving meaningful behavioral insights. The system demonstrates potential applications in mental health, human-computer interaction, and cognitive research. Integrating neurotechnology into behavioral monitoring is an achievement we are particularly excited about.

What we learned

Throughout this project, we deepened our understanding of behavioral inference from digital signals. We also gained valuable experience in data processing, system optimization, and integrating neurotech concepts with real-world applications.

What's next for SynapSense

Future developments include refining the inference models to improve accuracy, expanding sensor compatibility. We aim to integrate additional biometric inputs for a more comprehensive analysis of cognitive and emotional states.

Built With

C++, Python, Networking, Machine Learning, Artificial Intelligence, Linux, React.js, Next.js, Node.js, Tailwind, TypeScript

Built With

• artificial-intelligence
• c++
• linux
• machine-learning
• networking
• next.js
• node.js
• python
• react.js
• tailwind