level-6: Aadyant Sood

submissions/aadyant-sood/level-6/.env.example

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+NEO4J_URI=neo4j+ssc://your-instance.databases.neo4j.io
+NEO4J_USERNAME=your_username
+NEO4J_PASSWORD=your_password

submissions/aadyant-sood/level-6/.gitignore

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+.env
+__pycache__/
+*.pyc

submissions/aadyant-sood/level-6/DASHBOARD_URL.txt

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+https://lpi-developer-kit-exok2achm8rvscbqwf4gyc.streamlit.app/

submissions/aadyant-sood/level-6/README.md

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+# Factory Knowledge Graph Dashboard
+
+## Overview
+
+A Neo4j + Streamlit dashboard for factory production planning and workforce analysis using a knowledge graph model.
+
+The system represents factory operations as interconnected graph entities to support operational monitoring, capacity planning, staffing analysis, and forecasting.
+
+---
+
+## Tech Stack
+
+- Python
+- Neo4j AuraDB
+- Streamlit
+- Pandas
+- Plotly
+- NumPy
+- python-dotenv
+
+---
+
+## Knowledge Graph Model
+
+### Node Labels
+- Project
+- Product
+- Station
+- Worker
+- Week
+- Etapp
+- BOP
+- Certification
+- Capacity
+
+### Relationship Types
+- PRODUCES
+- SCHEDULED_AT
+- OCCURS_IN
+- PART_OF
+- BELONGS_TO
+- WORKS_AT
+- CAN_COVER
+- HAS_CERTIFICATION
+- HAS_CAPACITY
+
+---
+
+## Dashboard Features
+
+### Project Overview
+Project-wise planned vs actual production hour comparison with variance analysis.
+
+### Station Load
+Station workload monitoring with overloaded station detection.
+
+### Capacity Tracker
+Weekly capacity vs planned demand analysis with deficit visualization.
+
+### Worker Coverage
+Cross-station worker coverage analysis with single point of failure detection.
+
+### Production Forecast (Bonus)
+Trend-based workload forecasting with confidence bands for future planning.
+
+### Self-Test
+Automated Neo4j validation checks with scoring out of 20.
+
+---
+
+## Local Setup
+
+### Install dependencies
+```bash
+pip install -r requirements.txt
+```
+
+### Configure environment variables
+Create a `.env` file:
+
+```env
+NEO4J_URI=your_neo4j_uri
+NEO4J_USERNAME=your_username
+NEO4J_PASSWORD=your_password
+```
+
+### Seed the graph
+```bash
+python seed_graph.py
+```
+
+### Run dashboard
+```bash
+streamlit run app.py
+```
+
+---
+
+## Deployment
+
+Live Dashboard:  
+https://lpi-developer-kit-exok2achm8rvscbqwf4gyc.streamlit.app/
+
+---
+
+## Author
+
+Aadyant Sood