FlowGenie AI

FlowGenie is an AI-powered HR onboarding automation platform that turns messy, manual onboarding into a fast, trackable, policy-compliant workflow. HR or managers can use a ChatGPT-style chat to ask company policy questions and get short answers backed by internal documents (RAG) with sources for auditability. When a new employee is created via chat or bulk upload (CSV/XLSX), FlowGenie automatically kicks off an onboarding workflow in n8n that handles key steps like sending a welcome email, provisioning company email/SSO, initiating least-privilege IT access, assigning assets and shipping details, scheduling HR Day 1 and manager 1:1 meetings, assigning an onboarding buddy, collecting compliance documents, granting knowledge base access, and generating a 30-60-90 day plan. Every step updates the employee timeline in real time through backend webhooks using correlation IDs, so you can see exactly what ran, when, and with what outcome. The MVP supports local document upload and indexing, SQLite for zero-setup storage, and “node-ready” mocks for Slack/Calendar/HRMS that can be swapped to real integrations later.

https://t.me/AnnaQubic_bot Aigarth (aNNa) is a Telegram bot with artificial intelligence that will help you quickly get started in the Qubic ecosystem. Aigarth can answer all your questions about the Qubic blockchain and provide materials and links for further study. This is currently the MVP version. The bot is connected to a neural network trained to generate answers to questions about the project. I will continue to develop and improve it. It will provide more detailed and comprehensive answers. The purpose of this bot is to provide quick and understandable onboarding for users to the Qubic project: - how to buy tokens, - how to mine Qubic, - how blockchain works, - how smart contracts work, - offering the best prices for buying and selling tokens, - many other topics. The bot will provide detailed answers in different languages. Development prospects: 1. Multilingualism. 2. Price forecasts and offers to buy and sell Qubic cryptocurrency. 3. The bot can help configure mining equipment, show monthly returns, and predict mining profits on different equipment. 4. The bot will also launch a game using unique NFTs. The main character will be aNNa. 5. Monetization: With a subscription, users can use the bot's neural network menu to generate images, videos, voices, and music. 6. Other bot features and capabilities The bot will know absolutely everything about the project.

Code Genie

Code Genie is an AI-powered Streamlit application designed to assist developers, students, and teams in analyzing, reviewing, refactoring, and documenting source code across multiple programming languages. The platform integrates advanced AI capabilities to offer a smarter and more personalized coding assistant experience. At its core, Code Genie leverages the Groq API with the LLaMA model to power a range of intelligent features, including: Code Explanation: Understand complex logic with natural language breakdowns tailored to user skill level. Semantic Search: Find relevant functions, files, or logic based on the meaning of user queries—not just keywords. Workflow Reporting: Automatically generate summaries and insights about code structure and quality. Error Detection: Identify potential bugs, anti-patterns, or inefficient implementations. Unit Test Generation: Create boilerplate or advanced test cases automatically based on existing functions. To complement these features, Blackbox AI API is used for: Code Refactoring: Clean up, optimize, and restructure code based on AI-powered analysis. Additionally, the Blackbox AI agent was used via its official Visual Studio Code extension—not as a built-in integration—to automatically generate inline code comments. This feature supported the documentation module by providing accurate and context-aware comments based on code structure. Every page in Code Genie requires users to select: Programming Language Skill Level (Beginner, Intermediate, Expert) Developer Role (e.g., Backend, Frontend, QA, Student) Preferred Explanation Language (e.g., English, Urdu) These inputs allow Code Genie to personalize all outputs—ensuring that code insights, suggestions, and explanations are context-aware and user-friendly. By combining Groq’s high-speed LLaMA models with Blackbox AI tools, Code Genie provides a robust, AI-powered environment for improving code quality, understanding, and productivity.

SupplyGenius Pro

Core Features 1. Document Processing & Analysis - Automated analysis of supply chain documents - Extraction of key information (parties, dates, terms) - Compliance status verification - Confidence scoring for extracted data 2. Demand Forecasting & Planning - AI-powered demand prediction - Time series analysis with confidence intervals - Seasonal pattern recognition - Multi-model ensemble forecasting (LSTM, Random Forest) 3.Inventory Optimization - Real-time inventory level monitoring - Dynamic reorder point calculation - Holding cost optimization - Stockout risk prevention 4. Risk Management - Supply chain disruption simulation - Real-time risk monitoring - Automated mitigation strategy generation - Risk score calculation 5. Supplier Management - Supplier performance tracking - Lead time optimization - Pricing analysis - Automated purchase order generation 6. Financial Analytics - ROI calculation - Cost optimization analysis - Financial impact assessment - Budget forecasting 7. Real-time Monitoring - Live metrics dashboard - WebSocket-based alerts - Performance monitoring - System health tracking 8. Security Features - JWT-based authentication - Role-based access control - Rate limiting - Secure API endpoints -- Technical Capabilities 1. AI Integration - IBM Granite 13B model integration - RAG (Retrieval Augmented Generation) - Custom AI toolchains - Machine learning pipelines 2. Data Processing - Real-time data processing - Time series analysis - Statistical modeling - Data visualization 3. Performance Optimization - Redis caching - Async operations - Rate limiting - Load balancing 4. Monitoring & Logging - Prometheus metrics - Detailed logging - Performance tracking - Error handling

comedian-joke-book

Comedian Joke Book is a groundbreaking platform that combines the power of AI with the creativity of humor enthusiasts worldwide. Submit your best original jokes and let our advanced natural language processing categorize them by theme, structure and style. Explore the resulting interactive joke visualization to discover new talent, uncover emerging trends, and find inspiration for your own comedy writing. Most importantly, JokeMap is dedicated to protecting the intellectual property of humor creators. Our originality scoring engine compares new submissions against our vast database, flagging potential plagiarism and giving proper attribution. With a transparent, immutable record of each joke's origin and timeline, JokeMap aims to become the trusted home for comedic talent everywhere. Whether you're an aspiring comedian, a prolific humor writer, or simply a connoisseur of clever jokes, JokeMap provides the tools and community to help you explore, create and preserve the very best in original comedy. Join us on this exciting journey as we map the frontiers of humor!

Optibuild

Visual Q&A for Monday.com is an innovative AI-powered tool designed to elevate project management and team productivity by analyzing task-related images and providing visual question answering. It integrates seamlessly with Monday.com, adding an extra layer of intelligence to this already robust platform. Harnessing the capabilities of Salesforce's state-of-the-art visual question-answering model, Blip, this tool allows teams to ask specific, targeted questions about visual content related to their tasks and get instant, automated responses based on an AI-powered analysis. For instance, in a construction project, photos documenting progress are often critical. With Visual Q&A, project managers can automatically analyze these images by asking questions like "Is the wall painted evenly?" or "Are the tiles laid correctly?" The AI model then scans the uploaded images and provides an answer, flagging potential issues and allowing teams to address them promptly. This drastically reduces the time required for manual checking and provides an efficient tool for quality control. In a marketing context, the tool becomes even more powerful. It can analyze design drafts, advertisement images, or campaign graphics and answer queries about specific elements. Questions like "Is the company logo clearly visible in the advertisement?" or "Does the advertisement contain any text in red?" can be answered rapidly, making it a valuable tool for ensuring brand consistency and meeting design specifications. But the applications of Visual Q&A for Monday.com extend far beyond these examples. Whether it's a retail company needing to confirm if their products are displayed correctly in a store, a manufacturer checking if a machine part has been installed correctly through images, or a software company verifying the presence of specific elements in their UI/UX, Visual Q&A can provide quick and reliable answers, streamlining the task management process.