Autonomous AI-powered academic research system.
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Updated
Jun 22, 2026 - Python
Autonomous AI-powered academic research system.
Personal finance agent that decides whether an expense is safe — pay in full, split, use installments, or wait — from a 90-day balance forecast over real transaction history, with a deterministic decision core and a narrow multimodal evidence layer for receipts and messages.
Turn any web page into traceable, citable evidence for AI agents.
Implementation of feature-based CRF for evidence fragment detection described in EACL 2021 paper "Scientific Discourse Tagging for Evidence Extraction"
Evidence-grounded, multi-agent research assistant that performs RAG over scientific papers, extracts structured claims, builds a Neo4j knowledge graph, and answers questions with verifiable citations and stateful session memory.
An AI-assisted pipeline for automating biomedical literature discovery, full-text processing, genomic variant extraction, evidence annotation, and ClinVar-based validation.
Automated research paper analysis: PDF → JSON with evidence extraction using LLMs (DeepSeek, Gemma). Extracts methods, results, datasets, and claims with precise evidence grounding.
Deterministic extraction and evaluation of harms evidence in total knee arthroplasty randomized trials
Grounded clinical evidence extraction for policy review. The model selects citations by ID; code slices them from the record, so a fabricated snippet is structurally impossible.
Real time monitoring and evidence extraction tool for MySql Shell to detect suspicious activity from internal members.
Financial decision agent for HackerRank Orchestrate September 2026: deterministic 90-day cash-flow forecast, typed evidence extraction on Amazon Bedrock, verified payment plans
Five-agent LangGraph system for automated scientific paper ingestion, citation graph analysis, evidence extraction, conflict detection, and research synthesis using FastAPI, PostgreSQL, and Streamlit
Rust conflict-intelligence engine that extracts actors, claims, commitments, contradictions, friction patterns, and evidence spans from messy text.
AI research agent for investigating claims and questions using search, evidence extraction, and cross-checking.
Deterministic document intelligence pipeline: corpus → fragments → questions → retrieval trees. No LLM required.
Browser automation research agent with evidence extraction and source scoring.
A non-invasive forensic tool for extracting, analyzing, and managing evidence from WearOS smartwatches. Placed 4th at CIDECODE 2.0
Evidence-grounded knowledge graphs for coating patents.
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