PythonNLPProphetDockerStreamlitPostgreSQL
LocalLens
AI-Powered Demand Forecasting & Inventory Engine. Top 10 Finish in IEEE Gravitas Hackathon.
Achievement
Secured a Top 10 Finish in the IEEE Gravitas Hackathon by engineering a scalable solution for inventory optimization.
Technical Implementation
- NLP Pipeline: Devised a custom pipeline using spaCy and BeautifulSoup to parse unstructured web data with 90%+ accuracy.
- Forecasting: Formulated precision demand predictions implementing a Prophet time-series model.
- Architecture: Architected a dual-purpose data application using Streamlit and PostgreSQL for B2B analytics.
- DevOps: Streamlined deployment by containerizing the end-to-end application with Docker.