Multimodal AI for Early Disease Detection
Award-winning applied AI work that fuses multiple modalities into a stronger disease-detection workflow.
- Python
- Deep Learning
- ResNet
- BERT
- Healthcare AI
- Data Fusion
Project archive
Each route documents the problem, role, decisions, current limitations, and any evidence available for the stated outcome.
Award-winning applied AI work that fuses multiple modalities into a stronger disease-detection workflow.
A multi-agent AI wellness platform unifying journaling, wellness chat, fitness coaching and productivity behind five specialised agents.
Keras contributor with a merged class_weight fix and active PyDataset and preprocessing pull requests.
Live computer-vision interpretation wired into an interface that feels immediate instead of academic.
An MCP-native self-healing multi-agent orchestration swarm on Gemma 4 31B via Cerebras, with live performance telemetry.
Grades and upgrades a visitor's resume without turning the portfolio into a generic utility dashboard.
Cleaner analytical storytelling for teams that need to understand raw numbers quickly.
A practical product with clear interaction design and disciplined frontend state handling.
Full-stack product thinking across user journeys, operational tooling, and UI polish.