TaskSync-AI: The Intelligent Executive Assistant

TaskSync-AI is a production-grade, full-stack AI application designed to streamline personal productivity. It combines a premium SaaS dashboard with a custom-built AI inference engine to manage meetings, emails, and reminders through natural language.

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Key Features

Custom AI Inference Engine

• Intent Classification: Fine-tuned DistilBERT model for high-accuracy intent detection (Calendar, Email, Reminders, General).
• Entity Extraction: Advanced spaCy-based NER (Named Entity Recognition) to extract dates, times, attendees, and task descriptions.
• Context Awareness: Multi-turn conversation state management for complex scheduling flows.

Premium User Experience

• Modern Dashboard: High-fidelity UI inspired by Linear and Stripe, built with Next.js 15 and Shadcn UI.
• Real-time Interactions: Smooth animations using Framer Motion and instant feedback loops.
• Responsive Design: Fully optimized for both desktop and mobile power users.

🛠 Enterprise-Grade Architecture

• Bi-Directional Proxy: Next.js API routes act as a secure proxy to the FastAPI backend.
• Secure Authentication: Integrated NextAuth.js v5 with Google OAuth provider.
• Relational Data: Scalable schema management using Prisma ORM (PostgreSQL ready).

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Tech Stack

Layer	Technology
Frontend	Next.js 15, React 19, Tailwind CSS, Framer Motion, Lucide Icons
Backend	Python 3.12, FastAPI, Uvicorn
AI/ML	Hugging Face Transformers, PyTorch, SpaCy (en_core_web_sm)
Database	Prisma ORM, SQLite (Dev) / PostgreSQL (Prod)
Auth	NextAuth.js (Auth.js v5)

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Getting Started

1. Backend Setup

cd backend
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
pip install -r requirements.txt
uvicorn app_enhanced:app --reload --port 8000

2. Frontend Setup

cd frontend
npm install
npm run dev

3. Environment Variables

Create a .env in the root and add:

# Database
DATABASE_URL="file:./dev.db"

# NextAuth
NEXTAUTH_URL="http://localhost:3000"

# Backend
FASTAPI_URL="http://localhost:8000"

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Project Showcase

Note

Designed for high-performance AI interactions with a focus on clean typography and intuitive user flow.

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Author

Meenaksh Singhania
AI/ML Enthusiast & Full-Stack Developer

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Developed as part of a transformation project to showcase production-grade AI integration.