Real-time AI systems, IoT integrations, and intelligent architectures built for
impact.
01 / TRAFFIC AI
SmartTrafficAI — Emergency Priority System
Real-time AI pipeline for ambulance detection and intelligent traffic prioritization
with distributed edge architecture.
- YOLOv8 ambulance detection with low-latency inference
- Distributed MQTT messaging + real-time socket dashboards
- Edge-aware processing with automated lifecycle management
- Detection-fused routing logic for priority corridors
YOLOv8MQTT
Socket.ioPython
Node.js
02 / IoT + AI
AI Road Pothole Detection System
IoT-integrated anomaly detection combining vibration signals with vision-based
classification for smart infrastructure.
- ESP32 + IMU + GPS real-time anomaly pipeline
- Sensor fusion: vibration signals + vision classification
- Geospatial analytics for automated civic reporting
ESP32IMU
GPSOpenCV
Python
03 / HEALTHCARE AI
Contactless Vital Monitoring System
Non-invasive cardiopulmonary monitoring using camera-based physiological signal
extraction — a core CuraBotics research domain.
- Camera-based rPPG signal extraction for HR monitoring
- ML-based respiration rate estimation
- Non-invasive, contact-free patient monitoring pipeline
OpenCVSignal Processing
MLPython
04 / ACCESSIBILITY AI
Assistive AI for Differently-Abled Users
Inclusive AI platform designed for visually and hearing-impaired users with adaptive
multi-modal interfaces.
- Speech recognition + TTS for audio-visual accessibility
- Adaptive UI that responds to user input modality
- Inclusive design principles for diverse user needs
Speech RecognitionTTS
PythonReact.js
05 / LINUX AI
AI Automation for Linux Systems
Natural language-driven system automation with intent recognition and command execution
pipelines.
- NLP-based intent recognition for system commands
- Automated execution pipelines from plain English inputs
NLPPython
LinuxBash
∞ / IN DEVELOPMENT
CuraBotics Surgical Assist Module
Next-gen AI-assisted robotic module for surgical precision, real-time feedback, and
haptic integration — the flagship CuraBotics R&D project.
- Computer vision for intraoperative guidance
- Real-time tissue classification with edge inference
- International collaborative research prototype
Active R&D
ROS2PyTorch
Edge AI
06 / BIOMEDICAL AI
Brain Tumor Segmentation Pipeline
Deep learning model for multi-modal MRI brain tumor segmentation, developed to assist
radiologists with high-accuracy volumetric analysis.
- 3D U-Net architecture for precise medical image segmentation
- Optimized inference speed for clinical deployment
- Integrates directly with standard DICOM hospital systems
TensorFlow3D U-Net
PythonDICOM
07 / ROBOTICS & CS
Neuromorphic Prosthesis Controller
Advanced sensor-fusion algorithm designed to process EMG signals for highly responsive
robotic limb control.
- Low-latency C++ signal processing engine
- Embedded machine learning for intention prediction
- Seamless tactile feedback integration
C++Embedded AI
Sensor FusionROS
