SignalAtlas
Dashboard aggregating open-source intelligence data feeds into a single searchable, filterable view for analysts.
TODO: Add permission-approved, sanitized product screenshots. Concept art is not shown as product evidence.
Technical concept illustration. The case study below describes the project implementation.
Each OSINT source has its own data shape, update cadence, and access pattern. SignalAtlas needed a common search and filter layer across those genuinely different feed types, plus alerting so analysts didn't have to keep re-checking manually for new matches — a dashboard aggregating multiple open-source intelligence feeds into one place to search and filter public data instead of checking each source manually.
What I Built
- Multi-source feed aggregation pulling from several public data sources
- Cross-source search and structured filtering
- Saved-search alerting flagging new matches automatically
- Analyst-friendly dashboard UI for reviewing aggregated data
Tech Stack
- Backend: Python
- Frontend: React
- Database: PostgreSQL / Elasticsearch
- Scraping: Multiple source-specific collectors
Key Decisions
- Built a common search and filter layer across genuinely different OSINT feed types rather than exposing each source's native interface, since analysts needed one consistent way to query regardless of source
- Added saved-search alerting so analysts didn't have to keep manually re-checking sources for new matches, turning a repetitive manual task into a passive one
Outcome / Impact
Gave analysts a single searchable view instead of manually checking each source individually, with alerting replacing repetitive manual re-checks.
Related work
RegimenAI — AI Health Platform
AI-powered fitness and health platform delivering personalized workout and nutrition recommendations based on user goals and progress data.
GraphAsk — AI Chat Assistant
AI chat assistant backed by a knowledge graph for structured domain Q&A — grounding responses in a curated entity/relationship graph instead of free-form retrieval alone.
CarelineOS (App)
Full-stack digital health platform for hospitals, clinics, doctors, and patients. MUI frontend, Node.js backend, MongoDB. APIs (TODO: verify count), role-based access (admin, doctor, patient, staff), analysis dashboard for vitals, and secure doctor–patient communication.
Interested in similar work?
Review my services and how we can define a useful first milestone.
Discuss similar work