IllustrationDiaFoot.AI
Studying how training-data composition affects diabetic-foot segmentation, with explicit checks for data leakage
Welcome to Ruthvik Nath Bandari's portfolio
16 projects
IllustrationStudying how training-data composition affects diabetic-foot segmentation, with explicit checks for data leakage
IllustrationComparing attack-graph remediation choices across success probability, effort, and business impact in synthetic networks
IllustrationMy work on reproducible training, HPC orchestration, and evaluation for a brain-tumor segmentation project
IllustrationA BCI-guidance hackathon prototype that turns simulated micro-ECoG streams into electrode-placement cues, using band-power scoring and Kalman-filtered tracking.
IllustrationA course prototype for extracting biomarkers from blood reports. I built the extraction, NER, retrieval, and training stages.
IllustrationA team-built Bitcoin security dashboard; I built the guardian engine and Cogcoin anchoring and co-built its rule-based quantum-exposure scanner.
IllustrationA hackathon prototype that uses an agent and typed tools to analyze blood-report fixtures. I built backend and agent integrations.
IllustrationA voice-conversation prototype I orchestrated across hosted speech, translation and language models, offering guided speaking practice in five languages.
IllustrationA team study of intraday direction modeling, with my work focused on project scope, training strategy, and cross-fold evaluation.
IllustrationFour solo data studies on US higher-education data: IPEDS pipelines, earnings-model interpretation, research-text topics and synthetic course-review sentiment.
IllustrationA multi-source research pipeline connected to a TechRxiv preprint. I contributed document clustering and LinkedIn collection.
IllustrationFlask and CLI forensics tool for file hashing, entropy analysis, EXIF extraction and URL header checks, with SQLite run history.
IllustrationA team prototype for finding care facilities; my contribution covered data collection, model evaluation, and clustering.
IllustrationA course pipeline that turns SQLite customer data into cleaned features, spending models, and customer segments.
IllustrationAn earlier face-attendance system using dlib 128-D embeddings, centroid tracking between frames and a Flask dashboard for attendance records.
IllustrationA small task-oriented chatbot for choosing a pizza, customizing an order and reviewing its summary, built on a hand-written ChatterBot logic adapter.