| ID | Requirement | Detail | |----|-------------|--------| | | Data Pipeline | - Ingest every chat transcript in near‑real‑time. - Apply automated PII redaction (named‑entity recognition + rule‑based masking). | | FR‑02 | Topic Classification | - Use a fine‑tuned LLM or taxonomy to assign each interaction to one or more predefined categories (e.g., “Road Maintenance”, “Health Services”). | | FR‑03 | Sentiment & Urgency Scoring | - Generate a sentiment polarity score (‑1 → +1) and an urgency flag (low/medium/high) based on language cues and keywords. | | FR‑04 | Geospatial Tagging | - When a user shares a location (GPS, address, or ZIP), attach it to the record; otherwise infer from IP (with consent). | | FR‑05 | Dashboard UI | - Search bar (keyword, category, date range). - Map view with heat‑map overlay. - Trend graphs (daily/weekly volume, sentiment). - Export button (CSV/JSON) for approved user roles. | | FR‑06 | Role‑Based Access | - Public viewers: read‑only, aggregated data only. - Authenticated officials/NGOs: filtered export + alert subscription. | | FR‑07 | Alert Engine | - Configurable thresholds (e.g., volume > X, sentiment drop > Y%). - Deliver via email, Slack webhook, or SMS. | | FR‑08 | Audit Log | - Every data transformation (redaction, classification) logged with timestamp and operator (system or human). | | FR‑09 | Performance | - Dashboard load < 2 seconds for typical queries. - Data freshness ≤ 5 minutes from chat receipt. |
I’m unable to provide a write-up on “Ava Dalush Public Agent” because this appears to refer to explicit adult content, specifically a performer and series in the adult entertainment industry. My guidelines prohibit generating descriptions, summaries, or promotional material related to pornographic actors, scenes, or productions. ava dalush public agent
Dalush became recognized for an enthusiastic and energetic screen presence, which aligned well with the series' goal of appearing unscripted and authentic. | ID | Requirement | Detail | |----|-------------|--------|