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FinCrime-GenAI

FinCrime-NameSift-LLM

FinCrime-NameSift-LLM

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FinCrime NameSift LLM: AI-Powered Financial Crime Detection

Advanced Name Screening for Compliance and Security

[🤖 AI-POWERED] • [🔍 NAME SCREENING] • [🔒 SECURE]

🧠 LLM-Enhanced • 📊 Fuzzy Matching • ☁️ Scalable

Transform compliance with intelligent, real-time screening

Why FinCrime NameSift LLM?

FinCrime NameSift LLM is a cutting-edge platform for financial institutions, leveraging FastAPI, Streamlit, and Ollama’s LLMs to deliver real-time name screening and risk assessment. With fuzzy matching, vector-based similarity search, and PostgreSQL with pgvector, it ensures precise detection of high-risk entities while maintaining compliance and security.

Key Features

🔍 Intelligent Screening: Real-time fuzzy matching with sub-second responses.
📋 Watchlist Management: Supports CSV, JSON, and ISO 20022 XML for bulk processing.
🤖 AI Analytics: LLM-powered risk explanations and predictive insights.
🎨 Premium UI: Dark-mode, responsive Streamlit interface with customizable dashboards.
🔒 Secure Architecture: JWT authentication, PostgreSQL with pgvector, and Redis caching.
☁️ Cloud-Ready: Deployable on AWS, Azure, and GCP with horizontal scaling.

Security by Design

FinCrime NameSift LLM ensures robust security with JWT authentication, rate limiting, and ACID-compliant PostgreSQL storage. All data processing, including LLM analysis, is optimized for privacy and compliance, with comprehensive audit trails for regulatory reporting.

Integration with KinAI Ecosystem

FinCrime NameSift LLM integrates with the KinAI Ecosystem, sharing screening results via a secure chat hub for responses like: “High-risk entity detected; review required.” It complements KinAI-Vision, CareVault, NexPatrol, Mentor, and GeoPulse for a comprehensive compliance solution.

Get Started

Explore FinCrime NameSift LLM on GitHub for setup guides, code, and documentation. Enhance your financial crime detection today!

Visit FinCrime NameSift LLM on GitHub

Built with ❤️ for security, intelligence, and compliance.

FinCrime-GenAI

FinCrime CDD Intelligence

FinCrime CDD Intelligence

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FinCrime CDD Intelligence: AI-Powered Customer Due Diligence

Enterprise-Grade Financial Crime Prevention Platform

[🤖 AI-POWERED] • [⚖️ RISK ASSESSMENT] • [🔒 SECURE]

🧠 LLM-Enhanced • 📋 Document Validation • ☁️ Multi-Cloud

Empower financial institutions with intelligent, secure CDD

Why FinCrime CDD Intelligence?

FinCrime CDD Intelligence is an enterprise-grade platform for financial institutions, combining AI/ML with regulatory compliance for seamless customer onboarding and risk assessment. Powered by Streamlit, XGBoost, and LLMs via Ollama, it automates document validation and delivers precise risk scoring, deployable across AWS, Azure, and GCP.

Key Features

🧑‍💼 Customer Onboarding: Collects data and validates documents using AI (llava:7b).
📈 CDD Risk Scoring: Combines XGBoost and LLM (granite3.2) for structured and unstructured risk analysis.
📄 Document Validation: Identifies passports, IDs, and income proofs with high accuracy.
⚖️ Risk Categorization: Classifies customers as low, medium, or high risk in real-time.
☁️ Multi-Cloud Support: Deploys on AWS, Azure, and GCP with Kubernetes orchestration.
🔒 Secure Design: Uses SQLite locally, with enterprise options for encrypted cloud storage.

Security by Design

FinCrime CDD Intelligence ensures enterprise-grade security with AES-256 encryption, TLS 1.3 for data in transit, and comprehensive audit logging. It supports SOC 2, PCI DSS, and GDPR compliance, with multi-cloud redundancy for 99.99% availability.

Integration with KinAI Ecosystem

While a standalone solution, FinCrime CDD Intelligence can integrate with the KinAI Ecosystem, sharing risk insights via a secure chat hub for responses like: “High-risk customer detected; manual review required.” It complements KinAI-Vision, CareVault, NexPatrol, Mentor, and GeoPulse.

Get Started

Explore FinCrime CDD Intelligence on GitHub for setup guides, code, and documentation. Strengthen your financial crime prevention today!

Visit FinCrime CDD Intelligence on GitHub

Built with ❤️ for security, intelligence, and compliance.

GenAI

KinAI-NexPatrol

KinAI-NexPatrol

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KinAI-NexPatrol: AI-Powered Home Surveillance System

Intelligent, Privacy-First Security for Your Home

[🤖 AI-POWERED] • [📹 SURVEILLANCE] • [🔒 PRIVACY-First]

🎯 YOLOv8 • 👤 InsightFace • 🧠 Ollama • 🔄 n8n

Secure your home with smart, real-time AI surveillance

Why KinAI-NexPatrol?

KinAI-NexPatrol is a privacy-first, AI-driven home surveillance system that eliminates irrelevant alerts using YOLOv8 for person detection, InsightFace for face recognition, and Ollama for risk assessment. Running locally in a Dockerized environment with NVIDIA GPU acceleration, it delivers meaningful Telegram notifications, integrated with the KinAI Ecosystem.

Key Features

👤 Advanced Face Recognition: Identifies family vs. strangers with high accuracy.
⚠️ AI Risk Assessment: Scores threats based on behavior, time, and context.
📱 Telegram Alerts: Sends prioritized notifications with images for real threats.
📹 Multi-Camera Support: Processes multiple feeds for comprehensive coverage.
🔒 Privacy-First: Local processing with SQLite ensures no data leaves your home.
🎓 Training Module: Customizes recognition for family and trusted visitors.

Privacy by Design

KinAI-NexPatrol runs entirely locally, using Docker and SQLite for secure data storage. All AI processing, including face recognition and risk analysis, happens on your hardware, ensuring complete privacy and no cloud dependency.

Integration with KinAI Ecosystem

KinAI-NexPatrol feeds security alerts into the KinAI Ecosystem’s chat hub, enabling responses like: “An unknown visitor was detected at 3 AM; check Telegram for details.” It syncs with KinAI-Vision, CareVault, ScholarKit, Mentor, and GeoPulse for a holistic family assistant.

Get Started

Explore KinAI-NexPatrol on GitHub for setup guides, code, and documentation. Protect your home with intelligent surveillance today!

Visit KinAI-NexPatrol on GitHub

Built with ❤️ for privacy, intelligence, and automation.

GenAI

KinAI-CareVault

KinAI-CareVault

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KinAI-CareVault: Intelligent Family Health & Financial Vault

AI-Powered Document Management for Family Wellness

[🤖 AI-POWERED] • [📄 DOCUMENT PROCESSING] • [🔒 PRIVACY-First]

🧠 Ollama • 📋 Vikunja • 🔄 Automation • 🐳 Docker

Your family’s secure, intelligent health and financial assistant

Why KinAI-CareVault?

KinAI-CareVault is an AI-powered, privacy-first system that organizes family health and financial documents via Telegram. Using local LLMs (Ollama), PostgreSQL, and n8n automation, it processes medical reports, prescriptions, and bills, offering safe medication advice and secure storage, all integrated with the KinAI Ecosystem.

Key Features

📄 Smart Document Processing: Auto-classifies and extracts data from medical and financial documents.
👨‍👩‍👧‍👦 Family Health Profiles: Tracks medical histories, allergies, and treatments for all family members.
🤖 AI Health Recommendations: Provides safe medication advice with allergy checks.
📱 Telegram Integration: Upload documents and query data via a conversational interface.
🛡️ Privacy-First: Local processing with no cloud dependency ensures data security.
📋 Vikunja Tasks: Organizes documents into actionable tasks for easy tracking.

Privacy by Design

KinAI-CareVault keeps all data local, using PostgreSQL for secure storage and Ollama for on-device AI processing. No information is transmitted externally, ensuring complete privacy for your family’s sensitive health and financial records.

Integration with KinAI Ecosystem

KinAI-CareVault feeds health and financial insights into the KinAI Ecosystem’s chat hub, enabling responses like: “Sarah’s latest prescription is processed, and her asthma medication is safe.” It syncs with KinAI-Vision, NexPatrol, ScholarKit, Mentor, and GeoPulse for a unified family assistant.

Get Started

Explore KinAI-CareVault on GitHub for setup guides, code, and documentation. Secure your family’s health and finances today!

Visit KinAI-CareVault on GitHub

Built with ❤️ for privacy, intelligence, and automation.

GenAI

KinAI-Mentor

KinAI-Mentor

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KinAI-Mentor: AI-Powered Offline Educational Assistant

Next-Gen Voice-Driven Learning & Intelligent Tutoring

[🤖 AI-POWERED] • [🎤 VOICE-DRIVEN] • [🔒 PRIVACY-First]

🧠 Local LLM • 🎯 Victorian Curriculum • 🔄 Speech Recognition • 🐍 Open Source

Transform education with AI that listens, teaches, and empowers

Why KinAI-Mentor?

KinAI-Mentor is an offline, voice-driven AI tutor aligned with the Victorian Curriculum F–10 Version 2.0, designed to provide personalized education for all students. Built with Streamlit and local LLMs via Ollama, it offers speech-to-text and text-to-speech for accessible, privacy-first learning, perfect for diverse learners.

Key Features

🎤 Voice Input: Ask questions naturally using speech recognition.
💬 Text Chat: Type queries for traditional interaction.
🗣️ Voice Output: Hear responses aloud with text-to-speech.
📚 Curriculum-Aligned: Supports Victorian Curriculum F–10 v2.0 across subjects.
💻 Fully Offline: No internet required, ensuring privacy and accessibility.
♿ Accessibility-First: Designed for students with diverse needs.

Privacy by Design

KinAI-Mentor operates entirely offline with local LLMs, ensuring no data is transmitted externally. All processing happens on your device, providing a secure, private learning environment for students and families.

Integration with KinAI Ecosystem

KinAI-Mentor feeds learning progress into the KinAI Ecosystem’s chat hub, enabling responses like: “Your son is studying Maths and needs help with algebra.” It syncs with KinAI-Vision, CareVault, NexPatrol, ScholarKit, and GeoPulse for a cohesive family experience.

Get Started

Explore KinAI-Mentor on GitHub for setup guides, code, and documentation. Empower your child’s learning journey today!

Visit KinAI-Mentor on GitHub

Built with ❤️ for privacy, intelligence, and automation.

GenAI

KinAI-Vision

KinAI-Vision

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KinAI-Vision: AI-Powered Smart Home Revolution

Next-Gen Computer Vision & Intelligent Automation

[🤖 AI-POWERED] • [👁️ COMPUTER VISION] • [🔒 PRIVACY-First]

🧠 LangChain • 🎯 InsightFace • 🔄 CrewAI • 🐳 Docker

Transform your home with AI that sees, thinks, and acts

Why KinAI-Vision?

KinAI-Vision redefines smart homes with advanced computer vision and AI, powered by YOLOv8 and InsightFace for real-time person recognition and automation. Unlike traditional sensors, it offers emotional intelligence, cultural sensitivity, and privacy-first processing, all running locally via Docker and FastAPI, integrated with the KinAI Ecosystem.

Key Features

🎯 Person Recognition: Identifies family members and guests with 99.5% accuracy using YOLOv8 and InsightFace.
🏠 Personalized Automation: Adjusts lighting, climate, and music based on individual preferences and room context.
💬 Contextual Greetings: Delivers human-like, weather- and culture-aware messages via LangChain and CrewAI.
🕉️ Cultural Sensitivity: Supports Hindu festivals and daily deity worship with tailored music and lighting.
🛡️ Advanced Security: Detects anomalies and sends privacy-safe alerts via Telegram.
🔒 Privacy-First: All processing and data storage occur locally, with no cloud dependency.

Privacy by Design

KinAI-Vision ensures your data stays secure with 100% local processing, encrypted PostgreSQL storage, and no cloud reliance. Facial recognition and automation run on your hardware, keeping your home’s intelligence private and safe.

Integration with KinAI Ecosystem

KinAI-Vision feeds real-time activity data into the KinAI Ecosystem’s chat hub, enabling responses like: “Dad’s in the study, and the room is set for focus.” It syncs with KinAI-CareVault, NexPatrol, ScholarKit, Mentor, and GeoPulse for a unified, intelligent family experience.

Get Started

Explore KinAI-Vision on GitHub for setup guides, code, and documentation. Build a smarter, more personal home today!

Visit KinAI-Vision on GitHub

Built with ❤️ for privacy, intelligence, and automation.

GenAI

KinAI-ScholarKit

KinAI-ScholarKit

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KinAI-ScholarKit: AI-Powered Educational Activity Generator

LLM-Driven, Curriculum-Aligned Learning Experience

[🤖 AI-POWERED] • [📚 CURRICULUM-ALIGNED] • [🔒 OFFLINE-FIRST]

🔍 FAISS • 🌐 NetworkX • 📄 ReportLab • 🤖 LLaMA3

Instantly generate personalized, curriculum-aligned educational activities

Why KinAI-ScholarKit?

KinAI-ScholarKit is an offline, AI-powered educational platform that generates personalized, curriculum-aligned activities in seconds. Built with Streamlit and local LLMs (e.g., LLaMA3), it uses a Retrieval-Augmented Generation (RAG) pipeline with FAISS and NetworkX to deliver tailored content for the Victorian Curriculum F–10 Version 2.0, ensuring privacy and accessibility for parents and educators.

Key Features

🖱️ Interactive Interface: Select year level, subject, and activity type (Story, Maths, Science, Custom) for tailored content.
📖 Curriculum-Aligned: Covers 25 learning areas (e.g., English, Maths, Science) for Foundation to Year 10.
🔍 RAG Pipeline: Combines FAISS vector search and NetworkX knowledge graphs for precise content retrieval.
📄 PDF Export: Download professional, curriculum-aligned PDFs via ReportLab.
🤖 LLM Integration: Uses local LLMs (Ollama) for dynamic, offline content generation.
😊 Emoji Support: Enhances engagement with age-appropriate emojis.

Privacy by Design

KinAI-ScholarKit operates entirely offline, ensuring no data leaves your device. With local LLMs and secure processing, it eliminates privacy risks associated with online educational platforms, making it ideal for safe, family-focused learning.

Integration with KinAI Ecosystem

ScholarKit feeds educational progress data into the KinAI Ecosystem’s chat hub, enabling responses like: “Your daughter completed her Maths worksheet at home.” It syncs with KinAI-Vision, CareVault, NexPatrol, Mentor, and GeoPulse for a holistic family assistant experience.

Get Started

Explore KinAI-ScholarKit on GitHub for setup guides, code, and documentation. Create engaging, curriculum-aligned learning activities today!

Visit KinAI-ScholarKit on GitHub

Built with ❤️ for privacy, intelligence, and automation.

GenAI

KinAI-GeoPulse

KinAI-GeoPulse

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KinAI-GeoPulse: Privacy-First Family Location Tracking

Next-Gen AI-Powered Location System for Smarter Family Safety

[🛡️ PRIVACY-FIRST] • [🌍 REAL-TIME TRACKING] • [🤖 AI-POWERED]

🗺️ Traccar • 🔐 Local-First • 🏠 Geofencing • 🐳 Docker

Keep your family connected with intelligent, privacy-first location insights.

Why KinAI-GeoPulse?

KinAI-GeoPulse is a privacy-first family location tracking and geofencing system integrated with the KinAI Ecosystem. Unlike Big Tech apps that compromise privacy, it uses Traccar and FastAPI for secure, local processing, delivering real-time location data and contextual insights to keep your family safe and connected.

Key Features

📍 Real-Time Tracking: Monitor family members’ locations via Traccar-connected devices.
🏠 Distance-from-Home: Calculate distances from home using the Haversine formula.
🔔 Geofencing Alerts: Get notifications for zone entries/exits (e.g., home, school).
🔋 Device Status: Track battery levels and last update times.
🔒 Privacy-First: Local processing with no cloud dependency.
🔗 KinAI Integration: Enhances the KinAI chat hub with location context.

Privacy by Design

KinAI-GeoPulse ensures your family’s location data stays secure with local processing, encrypted storage via PostgreSQL, and secure API authentication. No data leaves your network, giving you full control and peace of mind.

Integration with KinAI Ecosystem

GeoPulse powers the KinAI Ecosystem’s natural language chat hub with location insights, enabling responses like: “Your daughter is at school, 5 km from home, and her homework is done.” It syncs with KinAI-Vision, CareVault, NexPatrol, ScholarKit, and Mentor for a unified family assistant.

Get Started

Explore KinAI-GeoPulse on GitHub for setup guides, code, and documentation. Build a smarter, safer family tracking system today!

Visit KinAI-GeoPulse on GitHub

Built with ❤️ for privacy, intelligence, and automation.