Implement Risk Analysis Engine

[mftee]

Create high-performance rules engine for document risk assessment

Description:
Build a Rust-based rules engine that analyzes document data and calculates risk scores based on configurable rules.

Requirements:

• Rules engine with JSON/YAML configuration
• Pattern matching for text analysis
• Spatial queries for land overlap detection
• Statistical analysis (outlier detection)
• Configurable risk weights
• Parallel processing for batch analysis
• FFI bindings for Node.js
• CLI tool for analysis
• Performance benchmarks (>1000 docs/sec)
• Rule validation system

Acceptance Criteria:

• Rules engine executes accurately
• Configuration is flexible
• Performance meets benchmarks
• Spatial queries are correct
• CLI tool processes files
• FFI bindings are stable
• Comprehensive tests
• Documentation with rule examples

[drips-wave]

This issue has been added to the Stellar Wave Program and is worth 200 Points.

🧑‍💻 Interested in contributing? Apply to work on this issue on Drips Wave, earn points, and receive rewards.

🤠 Repo maintainers: You can manage this issue's Points and Complexity on your Maintainer Dashboard here. Please keep an eye on applications and respond quickly 💙

ℹ️ Learn more about Drips Wave

[ChukwuemekaP1]

@ChukwuemekaP1 has applied to work on this issue as part of the Stellar Wave Program's 1st wave.

Hi, my name is Paul. I’m a full-stack and blockchain developer with strong experience in Rust, Python, and TypeScript, and a solid background in machine learning and statistical analysis. While I’m relatively new to open-source contributions and haven’t been very active yet, I have a strong understanding of how collaborative OSS projects work and I’m genuinely interested in committing to this long-term and engaging full-time.

This issue aligns closely with systems I’ve worked on before: rule-based engines, document analysis, weighted risk scoring, and performance-focused Rust services. My approach would be to design a clean, validated rules engine using JSON/YAML configs, combine deterministic rule execution with text pattern matching, spatial overlap detection, and statistical outlier analysis, then aggregate results into explainable risk scores. I’m comfortable building parallel Rust pipelines to meet the performance target, exposing stable Node.js bindings, and delivering a CLI with strong test coverage, benchmarks, and clear documentation with rule examples.

I see this not just as an issue to close, but as a system worth building correctly, and I’m excited to grow as an active open-source contributor through this project.

ℹ️ Repo Maintainers: To accept this application, review their application or assign @ChukwuemekaP1 to this issue.

[Sandijigs]

@Sandijigs has applied to work on this issue as part of the Stellar Wave Program's 1st wave.

hi My name is Sandra.
I have reviewed the issue and understand what needs to be done
I am a fullstack software/ Blockchain Engineer with over 6years of experience web2 experience(Fullstack) and 2 year web3 experience (JavaScript,TypeScript, Rust ,Python, Soroban,Solidity,(Backend, frontend, Mobile and smart contracts) ). I have contributed to several projects in the stellar ecosystem. . please Assign this Issue to me

ℹ️ Repo Maintainers: To accept this application, review their application or assign @Sandijigs to this issue.

[Lynndabel]

@Lynndabel has applied to work on this issue as part of the Stellar Wave Program's 1st wave.

Hi 👋, I’d like to contribute to this issue.

I have experience building high-performance Rust systems and integrating them with Node.js. I can implement the document risk assessment rules engine with features including:

Configurable rules via JSON/YAML

Pattern matching for text analysis

Spatial queries for land overlap detection

Statistical analysis with outlier detection

Parallelized batch processing (>1000 docs/sec)

FFI bindings for Node.js and a CLI tool

Rule validation and performance benchmarking

I will ensure accuracy, configurability, and stability of the engine while providing comprehensive tests and documentation.

ℹ️ Repo Maintainers: To accept this application, review their application or assign @Lynndabel to this issue.

[chibokaxavier]

@chibokaxavier has applied to work on this issue as part of the Stellar Wave Program's 1st wave.

Hi @mftee, I’d like to implement the Risk Analysis Engine! I am a full-stack developer with a strong focus on Rust performance and systems architecture. I have experience building rule-based engines and integrating high-performance Rust modules into Node.js environments via FFI.

My Implementation Plan:

Engine Core: I will build the core engine in Rust using Serde for flexible JSON/YAML configuration. I'll implement a weighted scoring algorithm to aggregate risks.

Pattern Matching & Stats: I'll use optimized regex and string matching crates for text analysis, alongside crates like statrs for outlier detection and statistical distributions.

Spatial Analysis: I’ll integrate the geo and geos crates to handle land overlap detection with high precision.

High Performance: To meet the >1000 docs/sec benchmark, I will utilize Rayon for data-parallelism and ensure the engine is thread-safe and memory-efficient.

Integration: I’ll use napi-rs or Neon to provide stable, high-performance FFI bindings for Node.js, and build a robust CLI tool for batch processing.

Validation & Benchmarking: I'll include a comprehensive validation suite and use criterion for performance benchmarking to ensure we hit and exceed target metrics.

I see this as a critical system that requires precision and speed. I’m ready to start immediately and deliver a documented, high-quality solution.

ℹ️ Repo Maintainers: To accept this application, review their application or assign @chibokaxavier to this issue.

[ryzen-xp]

@ryzen-xp has applied to work on this issue as part of the Stellar Wave Program's 1st wave.

Hi maintainers 👋
I’m a blockchain developer with strong expertise in Stellar, Rust,TS and Stellar SDK integrations. I’ve worked on multiple Stellar-based smart contract and backend systems.

I understand the scope of this issue and can deliver a reliable, production-quality solution with proper tests and documentation.
Plz assign me !!

ETA: 24 hours

ℹ️ Repo Maintainers: To accept this application, review their application or assign @ryzen-xp to this issue.

[gregemax]

@gregemax has applied to work on this issue as part of the Stellar Wave Program's 1st wave.

Hi maintainers 👋
I’m a backend developer with strong experience in Rust, Node.js, and building high-performance data processing systems. I’ve implemented rules engines, FFI bindings, and parallelized pipelines for fast batch analysis in production.

I understand the scope of this issue and can build a Rust-based rules engine with JSON/YAML configuration, pattern matching, spatial and statistical analysis, configurable risk weights, Node.js FFI bindings, a CLI tool, and ensure >1000 docs/sec performance, with comprehensive tests and documentation.

Plz assign me !!

ETA: 48 hours

ℹ️ Repo Maintainers: To accept this application, review their application or assign @gregemax to this issue.

[gregemax]

@gregemax has applied to work on this issue as part of the Stellar Wave Program's 1st wave.

Hi maintainers 👋
I’m a backend developer with strong experience in Rust, Node.js, and building high-performance data processing systems. I’ve implemented rules engines, FFI bindings, and parallelized pipelines for fast batch analysis in production.

I understand the scope of this issue and can build a Rust-based rules engine with JSON/YAML configuration, pattern matching, spatial and statistical analysis, configurable risk weights, Node.js FFI bindings, a CLI tool, and ensure >1000 docs/sec performance, with comprehensive tests and documentation.

Plz assign me !!

ETA: 48 hours

ℹ️ Repo Maintainers: To accept this application, review their application or assign @gregemax to this issue.

[Properprogress1]

@Properprogress1 has applied to work on this issue as part of the Stellar Wave Program's 1st wave.

I'd love to take on this task and I would deliver in 8hrs or less

ℹ️ Repo Maintainers: To accept this application, review their application or assign @Properprogress1 to this issue.