<2-3 sentences summarising what the project addresses and solves, the target audience, and the benefit.> DeyWeaver is an AI-integrated productivity tool designed to help users organize their day, prioritize tasks, and optimize time management through intelligent scheduling. It caters to students, professionals, and productivity enthusiasts by dynamically suggesting daily plans based on urgency, deadlines, and user preferences, aiming to enhance efficiency and prevent burnout.

How It Works

DeyWeaver employs AI, specifically Google Gemini models via Genkit, to dynamically structure user days. It generates segmented schedules from natural language goals, breaks down large tasks into manageable sub-tasks with time estimates, and intelligently reallocates tasks based on rescheduling reasons. The system also offers AI-assisted meeting preparation, adjusting schedules and generating checklists, alongside productivity analytics to provide insights into work patterns.

Quick Start & Requirements

• Primary install / run command: npm install followed by npm run dev.
• Non-default prerequisites and dependencies: Node.js (v18+ recommended), npm or yarn. Requires a GOOGLE_API_KEY set in a .env.local file, obtainable from Google AI Studio.
• Links: Google AI Studio for API key.

Highlighted Details

• AI-powered schedule generation from natural language prompts.
• Intelligent task breakdown and dynamic task reallocation.
• AI-assisted meeting and speech preparation features.
• Comprehensive productivity analytics, including task progress, time usage, efficiency scores, and burnout prediction.
• Modern, responsive UI built with Next.js (App Router), React, TypeScript, ShadCN UI, and Tailwind CSS.

Maintenance & Community

The project is primarily developed and maintained by Aryan Singh (@aryan6673). Contributions are welcomed via pull requests and issues. No specific community channels (like Discord or Slack) are mentioned.

Licensing & Compatibility

Licensed under the MIT License, which generally permits commercial use, modification, and distribution with attribution.

Limitations & Caveats

The application requires a Google API key for its AI functionalities, which may incur costs. It relies on Google Gemini 2.5 Pro (beta), indicating potential for evolving features or instability. Development appears to be driven by a single maintainer, which could impact long-term support and development velocity.