Smart work distribution for teams — powered by ASI:ONE AI

AlignCrew analyzes team resumes and intelligently assigns project tasks based on each member's skills, experience, and strengths.

• Resume Analysis — Upload PDF resumes, AI extracts skills & experience
• Smart Task Assignment — Tasks assigned by skill match & fair workload balance
• Week-by-Week Timeline — Clear project roadmap with assignments
• Collaboration Insights — Recommended pairs + bottleneck warnings
• PDF Report Download — Professional report with full breakdown
• Demo Mode — Try without uploading files or an API key
• Dark/Light Mode — Clean, modern UI

cd projectsplitter

Edit .env in the root:

ASI_ONE_API_KEY=your_asi_one_api_key_here
ASI_ONE_BASE_URL=https://api.asi1.ai/v1
ASI_ONE_MODEL=asi1-mini

Get your ASI:ONE API key at: https://asi1.ai

cd backend
python -m venv venv
source venv/bin/activate        # Windows: venv\Scripts\activate
pip install -r requirements.txt
python main.py

Backend runs at http://localhost:8000

cd frontend
npm install
npm run dev

Frontend runs at http://localhost:5173

projectsplitter/
├── frontend/                   React Vite app
│   ├── src/
│   │   ├── components/
│   │   │   ├── WelcomeScreen.jsx
│   │   │   ├── TeamSetup.jsx
│   │   │   ├── ResumeUpload.jsx
│   │   │   ├── ProjectForm.jsx
│   │   │   ├── LoadingScreen.jsx
│   │   │   ├── ResultsPage.jsx
│   │   │   └── ChatBot.jsx
│   │   ├── styles/globals.css
│   │   ├── App.jsx
│   │   └── main.jsx
│   ├── index.html
│   ├── vite.config.js
│   └── package.json
├── backend/
│   ├── main.py                 FastAPI app + endpoints
│   ├── pdf_reader.py           PyMuPDF PDF text extraction
│   ├── ai_analyzer.py          ASI:ONE API integration
│   ├── report_generator.py     ReportLab PDF generation
│   └── requirements.txt
├── .env
└── README.md

Analyzes team + project and returns task assignments.

Form data:

• names — JSON array of team member names
• project_description — Project description text
• project_type — One of: Web App, Mobile App, AI/ML Project, etc.
• deadline — Optional date string
• demo_mode — "true" to use sample data
• files — PDF files (one per member, omit in demo mode)

Response:

{
  "session_id": "uuid",
  "result": { ... }
}

Returns a generated PDF report for the given session.

Click "Demo Mode" on the project form screen to see the full app flow with pre-built sample data — no API key or resumes required.

This project uses the ASI:ONE API, which is OpenAI-compatible. The integration is in backend/ai_analyzer.py:

from openai import OpenAI

client = OpenAI(
    api_key=os.getenv("ASI_ONE_API_KEY"),
    base_url="https://api.asi1.ai/v1",
)

The model (asi1-mini by default) is configurable via .env.

MIT — built for the hackathon.