I am a BCA final-year student deeply interested in robotics, computer vision, and physical AI systems. My primary focus is understanding how intelligent systems operate as end-to-end pipelines — from sensing and perception to decision-making, interaction, and execution. I follow an implementation-first learning approach, prioritizing real-time systems, offline AI, and tight hardware–software integration over purely theoretical exploration.
- 🔭 Currently working on: Serphi — an offline, emotion-aware conversational AI system
- 🧠 Learning & exploring:
- Perception-to-interaction pipelines
- Emotion-aware AI systems
- On-device / offline inference
- Robotics fundamentals and embedded control
- 🤖 Core interests:
- Robotics hardware & actuation
- Embedded systems & firmware exploration
- Real-time computer vision
- Sensor-based perception systems
- 🧪 Learning style:
- Reading research papers
- Running and modifying open-source systems
- Building small but complete prototypes
- 🎯 Long-term goal:
Prepare for research-oriented environments in robotics, humanoid systems, and physical AI - 📫 Email: dkworks108@gmail.com
- ⚡ Fun fact: I intentionally break systems to understand their limits — then rebuild them with better structure.
- Real-time facial emotion recognition (perception layer)
- Emotion-conditioned response logic
- Fully offline conversational pipeline (privacy-focused)
- Local memory handling and low-latency interaction
- Focus on system integration rather than model training
My contribution emphasizes how perception outputs are translated into meaningful, context-aware interactions.
- Perception systems for robotics
- Emotion and context-aware AI
- Simulation-first robotics development
- Learning-based control (introductory level)
- System-level integration for physical AI
- Computer vision experiments
- Robotics & embedded prototypes
- Offline AI systems
- End-to-end system implementations
- Learning-focused, well-documented projects