AI-Driven Commodity Intelligence Tool Development
Budget / Salary$110–150
TypeFreelance project
LocationRemote
Posted1 hour ago
For Project 40648634 - AI Commodity Intelligence Platform
Workflow you need: Collect → Analyze → Compare → Score → Challenge → Recommend → Risk-check → Present. Research only, no auto-trading. Client approves/rejects.
Stack for Phase 1: GitHub + Codespaces (free allowance) + Python + SQLite + Streamlit + OpenAI API + Scheduler + GitHub Secrets. Using Codex as agentic engineer.
What I will build:
1. Ingest: Weather (Open-Meteo/NOAA), Gov Reports (USDA WASDE/FAO PDF scraper + LLM summary), News RSS, Prices (Yahoo/FRED). Modular for satellite/NDVI later.
2. Core: SQLite schema (raw_data, evidence, scores), ETL, Scoring 0-100 [30% Supply Stress, 25% Demand, 20% News Sentiment, 15% Price Anomaly, 10% Risk], Anomaly detection.
3. Challenge/Risk-check: 2+ source cross-check, contradiction check, low-confidence flag if evidence
Workflow you need: Collect → Analyze → Compare → Score → Challenge → Recommend → Risk-check → Present. Research only, no auto-trading. Client approves/rejects.
Stack for Phase 1: GitHub + Codespaces (free allowance) + Python + SQLite + Streamlit + OpenAI API + Scheduler + GitHub Secrets. Using Codex as agentic engineer.
What I will build:
1. Ingest: Weather (Open-Meteo/NOAA), Gov Reports (USDA WASDE/FAO PDF scraper + LLM summary), News RSS, Prices (Yahoo/FRED). Modular for satellite/NDVI later.
2. Core: SQLite schema (raw_data, evidence, scores), ETL, Scoring 0-100 [30% Supply Stress, 25% Demand, 20% News Sentiment, 15% Price Anomaly, 10% Risk], Anomaly detection.
3. Challenge/Risk-check: 2+ source cross-check, contradiction check, low-confidence flag if evidence
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