LogiBot.ai – Project LogiBot.ai is a web-based AI productivity application that combines multiple content-generation utilities into a single dashboard. The system is designed to help users quickly create and refine outputs such as AI chat responses, blog/content drafts, code snippets, text summaries, professional emails, social media posts, presentations (slide content), AI-generated images, image edits, and a short “video plan” built from a user prompt. The application provides a simple tool-based interface where users select a feature, enter a prompt (and optionally an image), and receive structured results that can be reused later. From an architecture perspective, LogiBot.ai follows a client–server model. The frontend is a single-page React application (TypeScript) built with Vite and styled using Tailwind CSS, providing a responsive dashboard UI and individual tool pages. The backend is a Node.js + Express server that exposes REST-style API endpoints (for example `/api/auth/*`, `/api/chats/*`, `/api/projects/*`, and `/api/ai/*`). The frontend communicates with these endpoints using `fetch()` to perform authentication, store/retrieve chat and project data, and request AI generation. For data storage, the backend uses a local SQLite database (`logibot.db`) accessed through `better-sqlite3`. It persists core entities such as users, chats, messages, and projects, enabling user accounts and saved work across sessions. Authentication is implemented using JWT tokens (`jsonwebtoken`) and secure password hashing (`bcryptjs`). In addition to database persistence, the application also stores a lightweight activity history in the browser’s local storage, allowing quick access and reuse of recent outputs on the client side. For AI capabilities, the backend integrates with Google Gemini using an API key (`GEMINI_API_KEY`) to generate text and images and to support additional creative tasks; the environment template also includes optional configuration for other providers (Groq, Replicate, Hugging Face). Overall, LogiBot.ai demonstrates an end-to-end full-stack implementation of an AI tool suite with a modern frontend, an API-driven backend, secure authentication, and persistent storage, focused on improving user productivity through multi-format content generation.