33 things I've grown, from clinical LLM systems to causal studies to weekend ML experiments. New projects sprout here on their own as I push them to GitHub. The big blooms are below; pick a patch to wander through the rest.
semantic search · your phrase and every project are embedded with OpenAI, then ranked by cosine similarity ✦
An intruder-detection system fusing simulated Wokwi hardware sensors with computer vision (YOLO person + weapon detection, fire, and face recognition), wired to a Streamlit dashboard with real-time email alerts.
A multimodal medical-record companion unifying RAG, document understanding, speech, and vision. Consensus extraction across LLMs hit 85.1% micro-F1 with sub-2s latency.
Benchmarked KIVI quantization, TopK sparsity, SnapKV eviction & MLA on Llama-2-7B with Triton kernels, 4× cache compression, 1.93× faster decode, 3.1× peak throughput.
End-to-end causal inference study of the Moertel (1990) colon cancer trial (n=929), evaluating average and heterogeneous treatment effects, mediation pathways, confounding bias, and external validity through transportability analyses.
A multi-agent CrewAI system for U.S. federal legal analysis: semantic USC retrieval, precedent search, elements analysis, and draft generation.
AI food app for video-to-recipe extraction, pantry matching, and personalized health coaching. React + Vite + Framer Motion on Netlify.
Full-stack RAG pipeline turning natural language into SQL and visualizations for sports performance analytics.
Converts cooking videos into structured recipes via a multi-stage vision-language pipeline: frame extraction, visual understanding, LLM reasoning.
Student-built dashboard for Columbia MSDS course reviews, live Google-Sheets data, AI-summarized reviews, rankings, and side-by-side comparisons.
AI coaching that maps fitness queries to personalized exercises via two-stage retrieval + LLM re-ranking. FastAPI, PostgreSQL, Claude.
AI diary turning journal entries into personalized verses + music recs. DistilRoBERTa emotion, K-Means over 867 songs, FAISS RAG, GPT-4o-mini.
AI blog-post generator with DALL·E images, SEO-optimized content with customizable tone, length, and generated visuals.
Educational medical-image analysis with Gemini Vision, upload or camera capture, safe non-diagnostic insights with built-in disclaimers.
Explains technical concepts through personalized analogies based on your interests. Interactive and friendly.
ML & predictive analytics framework for identifying high-risk child-welfare cases using NCANDS data.
Visual analysis of how diet and lifestyle contribute to colorectal cancer risk, built in R/Shiny.
Automated keratoconus detection using SVM and deep neural networks.
Classifies CT scans into Normal/Cyst/Stone/Tumor via VGG19 & ResNet50 transfer learning, 99.2% accuracy.
Automated cataract detection using CNNs and transfer learning.
VGG16 transfer learning + fine-tuning on GTSRB, 98% accuracy across 43 classes.
ResNet50 transfer learning across 38 plant-disease classes with training, evaluation, and inference tools.
Predicts used-car prices (India), 65.6% R² with XGBoost + Optuna, SHAP explainability across 4 ensembles.
Gradient Boosting on physicochemical properties with SHAP, feature importance, and PDPs for interpretability.
Production-style pipeline + Gradient Boosting for loan approval with SHAP explanations and an interactive UI.
TF-IDF + Linear SVM on the WELFake dataset with a real-time credibility-prediction interface.
XGBoost regression on California housing with an interactive what-if explorer.
Gradient Boosting on clinical indicators with SHAP for global and per-patient explanations.
Classifies sonar signals as rock or mine via cross-validated automated model selection.
Predicts repeat-purchase behavior for food-delivery businesses and surfaces key retention drivers.
EDA, feature engineering, SMOTE for imbalance, and tuned models exploring heart-disease risk factors.
Deep neural networks combining static + dynamic analysis to detect malicious Android apps.
Secure storage of encrypted medical/review data using ECDSA signatures, Proof of Work, and hash chaining.
A modular confusion/diffusion pipeline with swappable primitives (perm, spectral, xor, latin, inn), and a metrics harness (entropy, correlation, NPCR, UACI).
every project embedded and projected to 2D, so similar work sits close together. drop in something you care about and see where you land.
mapping the galaxy… 🌌