projects.
things i've built. tap or hover to preview, click to explore.
toolmind
hackathon winnerAI-powered tool discovery directory. 2,000+ users, 90+ tools, semantic search
hackathon-winning curated directory of 90+ AI tools across 10 categories, with 2,000+ users to date. uses Gemini 2.0 Flash for semantic search, so you describe your task and it surfaces tools ranked by intent match, not keywords. includes category browsing, tool detail pages, side-by-side comparison, and shareable search URLs.
a full-stack MVP connecting donors directly to verified recipients. supports mobile wallets, bank transfers, cash-out vouchers, and USSD claim codes. role-based dashboards for donors, recipients, verifiers, and admins with supabase auth, react hook form + zod validation, and recharts analytics.
winner of the e7 claude hackathon. drclaudius bridges the gap between patients and the long wait times of the canadian healthcare system. patients describe their symptoms; the system generates a full structured medical write-up that doctors can review at a glance to prescribe medications or suggest next steps. claude-powered, with an alien doctor mascot.
full-stack resume analysis platform using react + node.js/express. implemented an NLP scoring engine with TF-IDF and cosine similarity evaluating skills match (40%), experience relevance (30%), keyword overlap (20%), and ATS friendliness (10%).
a multi-agent AI system that turns vague goals into actionable task plans. coordinates three specialized LLM agents (planner, critic, improver) running sequentially via supabase edge functions.
built with python and streamlit, supporting multi-horizon analysis (1m to 1y), key price metrics, interactive plotly charts with 20/50-day moving average overlays, and light/dark mode.
an ensemble ML trading system combining logistic regression, random forest, and gradient boosting to rank 50 stocks monthly across 10 engineered features. achieved +67.7% cumulative return vs +46.3% S&P 500 over 23 months using walk-forward validation, kelly criterion sizing, and macro regime detection.
ML match prediction pipeline using logistic regression trained on 10+ years of T20I data across 4 engineered features: elo rating, recent form, head-to-head, and toss impact. blended with official ICC rankings (70/30 split).
full-stack AI tool that accepts CSV data as input and automatically generates a clean python data-cleaning script tailored to the dataset. built with a react frontend and python backend, deployed on vercel.
toolmind
hackathon-winning curated directory of 90+ AI tools across 10 categories, with 2,000+ users to date. uses Gemini 2.0 Flash for semantic search, so you describe your task and it surfaces tools ranked by intent match, not keywords. includes category browsing, tool detail pages, side-by-side comparison, and shareable search URLs.
toolmind · AI-powered tool discovery directory. 2,000+ users, 90+ tools, semantic search
hackathon-winning curated directory of 90+ AI tools across 10 categories, with 2,000+ users to date. uses Gemini 2.0 Flash for semantic search, so you describe your task and it surfaces tools ranked by intent match, not keywords. includes category browsing, tool detail pages, side-by-side comparison, and shareable search URLs.
open livetoolmind
AI-powered tool discovery directory. 2,000+ users, 90+ tools, semantic search
hackathon-winning curated directory of 90+ AI tools across 10 categories, with 2,000+ users to date. uses Gemini 2.0 Flash for semantic search, so you describe your task and it surfaces tools ranked by intent match, not keywords. includes category browsing, tool detail pages, side-by-side comparison, and shareable search URLs.
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