Daniel Fonseca

Danielfonseca1212

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Danielfonseca1212/MULTI-AGENTE-AUTONOMO

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Danielfonseca1212 's Spaces 36

Prompt Injection Shield

🛡

Enterprise-grade prompt injection detection OWASP LLM01 2025

GraphRAG vs Vector RAG — Fraud Detection Benchmark

🕸

Ask fraud questions and get graph‑based answers

MULTI AGENTE AUTONOMO

🏃

Um sistema multi-agente escalável com 4 agentes especializad

Multi-Agent Financial Advisor

📈

Generate personalized investment analysis with multi-agent AI

Multi AgentA2A Dashboard

🐢

Um dashboard de auditoria de compliance que usa 3 agentes IA

Agent Pruning Lab

✂

Visualize context pruning with semantic highlighting

LEX - Assistente Jurídico MCP

⚖

Structured Output Extractor

🔩

Extract structured data from any text using a schema

LLM Evaluation Dashboard

🔬

Evaluate LLM answers with detailed scores

Debate Arena · Multi-Agent System

⚔

Generate a live AI debate and receive a scored verdict

Agentic RAG · Self-Critique Pipeline

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Answer questions with AI-powered RAG and self‑critique

GraphRAG Portfolio Agent

🤖

Ask about GNN projects and get AI-powered answers from Neo4j

Falconpag

🏢

técnica patented do Falcon Perfil do cardholder

Saferpayments

📊

IBM Safer Payments simulado

Relgt Graph Transformer

📈

tokens são combinados com gate weights aprendíveis softmax

RelGNNDeepRelationalLearning

📚

SQL ao Graph AI sem Engenharia Manual — TPC-H Dataset

FedGNN - Detecção de Fraude Federada

🔐

Run federated fraud detection across banks without sharing data

Elliptic GraphSAGE - Bitcoin Fraud Detection

⚡

Train and compare GraphSAGE, GCN, MLP on Bitcoin transaction data

Seu App Streamlit

🚀

Detect anomalies in graph data without labels

TGN Fraud Detection

⏱

Detect e‑commerce fraud with a temporal graph network

HetGNN Fraud Detection

🕸

Detect fraudulent bank accounts with a graph neural network

Sistema Imune Digital

🛡

Analyze a transaction for fraud risk and get a recommendation

GNNneo4j

💻

istema avançado de detecção de fraudes usando Graph Neural

AntifraudeV3.5

🔥

Código Versão 3.5: "The Real-Time Engine"