LLM Personalized Music Assistant for Cognitive Tasks
Built an LLM-powered web prototype and designed a study of personalized background music, attention, memory, and planning.
Read the storyMy projects connect AI and human–AI interaction with software development, sensing, and electronics. They span cognitive-task study design, language-model adaptation, data pipelines, image classification, web applications, interactive environments, and hardware design.
The collection begins with my LLM Personalized Music Assistant, a web prototype and study prepared for future participant data collection. The remaining projects are grouped by technical area so you can explore both detailed case studies and shorter implementation projects.
Built an LLM-powered web prototype and designed a study of personalized background music, attention, memory, and planning.
Read the storyBuilt a video-preprocessing and annotation pipeline and collaborated on comparing EmotionCLIP and CLIP for seven-class emotion recognition.
Built a Spark pipeline for USGS earthquake data and compared models for multiclass magnitude classification.
Read the storyFine-tuned TinyLlama for recipe recommendations, integrated retrieval, and compared fine-tuned and RAG outputs.
Read the storyBuilt a multi-label retinal imaging pipeline and fine-tuned CNNs for DR, Glaucoma, and AMD.
Read the storyBuilt a feedforward neural network with manual backpropagation and evaluated its generalization on UTKFace.
A real-time traffic-sign and animal-detection project using OpenCV.
An infant-health diagnosis project using K-Nearest Neighbors.
A temperature-range classification project using multilayer perceptron neural networks in PySpark.
Developed a microservices learning platform that processes study files into summaries, key concepts, and flashcards.
Designed and implemented reputation scoring and a dynamic leaderboard for a Flask-based platform.
Developed a shared VR tyre-changing environment with real-time and physics-based interaction.
Participated in a team project on an AI-based video-call system using multimodal signal analysis; the team won first place in the Aura Program.
Developed a distributed edge-cloud IoT gateway for real-time sensor processing and anomaly detection.
Built an activity-recognition and fall-detection pipeline with on-device TinyML inference and cloud monitoring.
Designed and simulated an 8-bit CPU at RTL level using Verilog.
Implemented timer-interrupt LED control on a PIC microcontroller and tested it in simulation.
Designed an analog amplifier circuit for microphone signal enhancement.
A precision spin-coater design and construction project associated with a microfabrication lab.
To discuss these projects or related research, get in touch.