AI + Algorithmic Disclosure Scanner for ASX & US Microcaps Project Overview I’m looking for a developer to build a modular dashboard that scans ASX and US-listed micro, small, and mid-cap company Stock filings (e.g., quarterly reports, investor presentations, 10-Q, 8-K) using AI/NLP and algorithmic logic. The goal is to extract forward-looking disclosures that may act as price catalysts — such as new contracts, acquisitions, offtake agreements, JV formations, and strategic outlooks. Key Features • Keyword Scanner: Configurable terms like “offtake”, “acquisition”, “JV”, “contract”, “guidance”, “expects”, “ramp-up” • AI/NLP Context Extractor: Pull full paragraph or section where keyword appears, prioritizing future-oriented language • Algorithmic Filtering: Filter by date, company size (micro/small/mid-cap), filing type, and relevance score • Dashboard UI: Sortable, filterable table with export options (CSV, JSON) • Ticker Mapping: Link results to ASX and US stock codes • Date Filter: Filter by filing date (e.g., last 7 days, last quarter) • Source Tagging: Identify document type (ASX quarterly, 10-Q, 8-K, investor deck) • Catalyst Scoring: Optional scoring based on strategic tone and future-oriented language