This is a Next.js project bootstrapped with create-next-app.
The Cognitive Digital Twin project leverages AI to act as a personal assistant capable of understanding user intent, scheduling Google Meet meetings, and drafting professional emails automatically. By integrating natural language processing and intelligent decision-making, the system helps optimize productivity, reduce manual effort, and streamline daily communication tasks.
Main Features:
Automated Meeting Scheduling: AI can understand user preferences and schedule Google Meet meetings seamlessly.
Email Drafting & Sending: Generates professional emails based on context and can send them automatically or draft for review.
Natural Language Understanding: Interprets user commands in plain English to perform tasks efficiently.
Calendar Integration: Syncs with Google Calendar to avoid conflicts and manage schedules intelligently.
Task Prioritization & Reminders: Helps prioritize tasks and sends reminders for meetings or important deadlines.
Context-Aware Assistance: Learns from past interactions to provide personalized suggestions and responses.
Time Optimization: Reduces manual effort and saves time by automating routine administrative tasks.
First, run the development server:
npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun devOpen http://localhost:3000 with your browser to see the result.
You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.
This project uses next/font to automatically optimize and load Geist, a new font family for Vercel.
To learn more about Next.js, take a look at the following resources:
- Next.js Documentation - learn about Next.js features and API.
- Learn Next.js - an interactive Next.js tutorial.
You can check out the Next.js GitHub repository - your feedback and contributions are welcome!
The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.
Check out our Next.js deployment documentation for more details.
This is an AI-powered calendar booking assistant using FastAPI, LangGraph, Streamlit, and Gemini API.
- Conversational chat interface via Streamlit
- Google Calendar integration using a service account
- Check free/busy slots and create bookings
- Create a service account in Google Cloud Console.
- Share your Google Calendar with the service account.
- Put the JSON file
service_account.json. - Add your
.envfile with GEMINI key and Calendar ID.
cd backend
uvicorn main:app --reloadcd frontend
streamlit run app.pyGEMINI_API_KEY=your_gemini_key_here
CALENDAR_ID=your_calendar_id@gmail.com