NeuroSri
Tagline: “NeuroSri - Your Mental Health Companion” an AI bot that taps into your brainwaves, gets a feel for your emotions, and provides instant mental health support through friendly councelling.
Created on 5th April 2025
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NeuroSri
Tagline: “NeuroSri - Your Mental Health Companion” an AI bot that taps into your brainwaves, gets a feel for your emotions, and provides instant mental health support through friendly councelling.
The problem NeuroSri solves
The Problem NeuroSri Addresses : A lot of people experience stress, anxiety, or low moods but struggle to express their feelings or seek help. Most Mental health tools only work when you reach out firt. But when you're feeling low, taking that first step can be though.
What NeuroSri Offers : NeuroSri uses an EEG headset to read your brainwaves and gauge your emotions. It engages in casual conversation when you’re feeling good and shifts to a supportive mode when you’re not—providing comfort and guidance.
What People Can Use NeuroSri For :
- Understanding their feelings without needing to say anything
- Chatting with a friendly robot when they’re feeling stressed or alone
- Receiving real-time support and mental health advice
- Monitoring emotions and stress through brainwave signals
- Gaining more self-awareness and emotional balance
How NeuroSri Helps
NeuroSri is an AI-driven robot that interprets your brainwaves using an EEG headset. It can tell when you’re feeling relaxed or stressed and adjusts its responses accordingly. In normal mode, it engages in friendly conversation. When you’re in distress, it switches to counseling mode to provide comfort and assistance.
It fosters a safe, judgment-free environment where you can feel understood, even without saying a word. NeuroSri makes mental health care more accessible, intelligent, and always at your fingertips—just when you need it the most.
Challenges we ran into
Challenges We Encountered, During the creation of NeuroSri, we hit three significant hurdles:
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EEG Dataset Collection
Finding high-quality brainwave datasets that correlate with emotions was quite a challenge. Many were either incomplete or poorly labeled.
Solution:
We took matters into our own hands by curating a dataset from various sources and meticulously mapping emotional states through thorough research and validation. -
Model Accuracy
EEG signals can be quite complex and noisy. Our initial AI models struggled with accuracy and often produced inconsistent predictions.
Solution:
We tried out several machine learning models, fine-tuned hyperparameters, and improved our data labeling until we reached a stable and reliable level of accuracy. -
Understanding Brainwaves
Deciphering alpha, beta, theta, and other brainwave patterns felt overwhelming at times.
Solution:
We broke down the science into manageable modules, consulted trustworthy resources, and gradually built a solid understanding of the domain as a team.
These challenges ultimately made us stronger and played a crucial role in evolving NeuroSri into a more accurate and emotionally-aware system.
Tracks Applied (2)
Akash Network - Decentralized Compute Marketplace
Akash Network
agent.ai | The Professional Network For AI Agents
Agent.ai