AI/ML Projects
1164 projects · Page 3 of 49
Clinical Note De-Identification Pipeline with NER (Synthetic Notes)
Build a pipeline that detects and masks names, dates and identifiers in synthetic clinical notes. You will learn clinical NER, redaction strategies and privacy evaluation.…
ICD-10 Coding Assistant from Discharge Text (Synthetic Notes)
Build an assistant suggesting ICD-10 codes for synthetic discharge summaries with coder verification workflow. You will learn code ranking, hierarchical labels and human-in-the-loop design.…
Adverse Drug Reaction Mining from Open FDA Data (openFDA)
Mine openFDA adverse-event reports to surface drug-event associations with disproportionality measures. You will learn pharmacovigilance data quirks and signal-detection statistics.…
Drug Interaction Alert Engine from Open Interaction Databases
Build an alert engine that models drug interactions as a graph over open interaction data and explains alert severity. You will learn graph modelling of interactions and alert design.…
Symptom Triage Chatbot with Safety Guardrails (Rule + ML Hybrid)
Build a symptom triage assistant that combines ML ranking with hard safety rules and red-flag escalation. You will learn hybrid triage design and safety evaluation.…
Fall Detection from Wearable Accelerometer Data (UCI Public Dataset)
Train a fall-detection model on the public UCI activity dataset with window-based features and latency analysis. You will learn wearable signal processing and event detection metrics.…
Human Activity Recognition for Rehabilitation Monitoring (UCI HAR)
Build an activity recogniser on the public UCI HAR dataset tuned for rehab-relevant movements. You will learn sensor windowing and sequence classification.…
Sleep Stage Classification from Public Sleep-EDF Recordings
Classify sleep stages from the public Sleep-EDF polysomnography dataset with per-stage F1 analysis. You will learn EEG epoching, spectral features and sleep scoring conventions.…
Stress Detection from Wearable Signals (WESAD Public Dataset)
Build a stress classifier on the public WESAD dataset combining ECG, EDA and respiration features. You will learn multimodal physiological features and subject-independent validation.…
Calorie Estimation from Food Photos with Indian Dish Recognition
Train a model that recognises Indian dishes from photos and estimates calories with portion-size heuristics. You will learn food image datasets and estimation error analysis.…
Medicine Strip Recognition App: OCR of Drug Labels for the Visually Impaired
Build an app that reads medicine strip text aloud using OCR with confidence prompts for low-vision users. You will learn OCR pipelines and accessible interaction design.…
Prescription Digitisation with OCR and Human Verification Queue
Build a system that OCRs prescription images into structured drafts that a pharmacist verifies before confirmation. You will learn OCR post-correction and verification workflow design.…
MCQ Generation for Medical Entrance Preparation from Textbook Chapters
Build a generator that creates NEET-style MCQs from chapter text with difficulty tags and answer keys. You will learn item generation, distractor design and quality filtering.…
Virtual Anatomy Lab: Interactive 3D Organ Explorer for Medical Students
Build a 3D anatomy explorer with labelled organs, system-wise tours and self-test quizzes for first-year students. You will learn 3D educational content design and interaction patterns.…
Surgical Instrument Counting with Computer Vision (Simulated Images)
Train a model that counts surgical instruments in simulated tray images to support safety-check workflows. You will learn detection datasets, counting validation and workflow integration.…
Self-Supervised Pretraining for Medical Image Representations
Pretrain encoders with self-supervised objectives on public medical images and benchmark linear-probe transfer across tasks. You will learn SSL methods, representation evaluation and research experiment design.…
Multi-Modal Fusion of Imaging and Clinical Text for Diagnosis Support
Fuse radiology images with clinical text from public datasets to improve diagnosis-support accuracy over single-modality baselines. You will learn fusion architectures and ablation methodology.…
Domain Shift Robustness in Medical Imaging Across Public Benchmarks
Study how imaging models degrade across public datasets from different sources and evaluate robustness interventions. You will learn shift measurement, DG algorithms and benchmark discipline.…
Uncertainty Quantification for Clinical Prediction Models with Conformal Methods
Apply conformal prediction and calibration analysis to clinical risk models on public data with coverage guarantees. You will learn distribution-free UQ and clinical decision thresholds.…
Causal Inference for Treatment Effect Estimation on Synthetic Clinical Data
Estimate treatment effects on synthetic clinical cohorts where ground truth is known, comparing matching, weighting and meta-learners. You will learn causal assumptions, estimands and sensitivity analysis.…
Deep Survival Models on Public Cancer Registry Data
Fit deep survival models on public cancer registry extracts and compare against Cox baselines with concordance and calibration. You will learn censoring, competing risks and survival evaluation.…
Reinforcement Learning for Sepsis Treatment Policies in a Simulator
Learn sepsis treatment policies with offline RL inside a physiological simulator and evaluate with off-policy estimation. You will learn offline RL pitfalls and safe policy evaluation.…
Digital Twin Simulation of Glucose-Insulin Dynamics in Type 1 Diabetes
Build a patient digital twin using an established glucose-insulin simulator to test meal and dosing scenarios. You will learn physiological modelling and in-silico trial design.…
Graph Neural Networks for Protein Function Prediction
Predict protein functions with GNNs over public interaction and structure graphs with ontology-aware evaluation. You will learn biological graphs and hierarchical label evaluation.…