{"id":"dyneth02-air-quality-trends-analysis-project","name":"Air-Quality-Trends-Analysis-Project","homepage":null,"repo_url":"https://github.com/dyneth02/Air-Quality-Trends-Analysis-Project","category":"ai-ml","subcategories":[],"tags":["air-quality","environmental-analytics","forecasting","sarimax","time-series","fastapi","react","mysql","jwt","llm-agents","pdf-reporting"],"what_it_does":"AirSense is a full-stack air-quality monitoring and analytics platform. It aggregates multi-source PM2.5/PM10 data (Open-Meteo, OpenAQ, IQAir, WAQI) into a MySQL-backed time series, provides multi-city KPIs and comparisons, performs SARIMAX-based forecasting with evaluation metrics, and offers an LLM-based planning agent for natural-language analytics plus automated PDF report generation. Access is controlled via JWT authentication with tiered (Free/Pro/Enterprise) enforcement.","use_cases":["Aggregating and cleaning multi-source air quality time-series data (PM2.5/PM10)","Comparing air quality trends across multiple cities with summary KPIs","Forecasting air quality using SARIMAX with backtesting metrics","Generating PDF reports containing charts and KPI tables","Running natural-language analytical queries via an LLM planning agent (enterprise-tier)"],"not_for":["Production deployment requiring clearly documented public APIs, SDKs, and SLAs (not provided in the reviewed content)","Use cases requiring fine-grained, formally verified authorization semantics or auditable compliance claims beyond the stated intentions","Systems needing guaranteed idempotency/retry semantics without confirmation from API docs"],"best_when":"Used as an academic/full-stack project where users can run the system end-to-end (frontend + FastAPI + MySQL) and are comfortable with architecture implied by the README rather than fully specified API contracts.","avoid_when":"When you need a clearly documented, stable external API surface for third-party programmatic integration, or when you require explicit details on rate limits, error codes, pagination conventions, and retry/idempotency behavior.","alternatives":["Similar open-source air-quality dashboards/ETL pipelines (FastAPI/React + time-series storage)","Time-series forecasting tooling for PM datasets (e.g., SARIMAX pipelines with standard APIs)","Managed LLM analytics platforms with stronger hosted API guarantees (if available in your environment)"],"af_score":27.0,"security_score":56.8,"reliability_score":12.5,"package_type":"mcp_server","discovery_source":["github"],"priority":"high","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-03-30T15:33:28.619567+00:00","interface":{"has_rest_api":true,"has_graphql":false,"has_grpc":false,"has_mcp_server":false,"mcp_server_url":null,"has_sdk":false,"sdk_languages":[],"openapi_spec_url":null,"webhooks":false},"auth":{"methods":["JWT authentication"],"oauth":false,"scopes":false,"notes":"README states JWT-based authentication and bcrypt password hashing plus subscription tiers with plan-based enforcement, but does not describe scope granularity or specific authorization model at the API level."},"pricing":{"model":null,"free_tier_exists":true,"free_tier_limits":null,"paid_tiers":["Pro","Enterprise"],"requires_credit_card":false,"estimated_workload_costs":null,"notes":"Tiered access is described (Free/Pro/Enterprise) but no pricing amounts, credits, or operational cost guidance is provided."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":27.0,"security_score":56.8,"reliability_score":12.5,"mcp_server_quality":0.0,"documentation_accuracy":35.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":70.0,"rate_limit_clarity":0.0,"tls_enforcement":70.0,"auth_strength":75.0,"scope_granularity":30.0,"dependency_hygiene":40.0,"secret_handling":60.0,"security_notes":"Positive signals: uses JWT authentication and bcrypt hashing (per README). Unclear/undocumented: transport security requirements (TLS usage), refresh token strategy, JWT claims/expiration/rotation, fine-grained authorization scopes, and how secrets are stored/handled in practice. Also, the LLM planning agent introduces common risks (prompt/tool misuse, data exfiltration) but the README only broadly mentions security/capability limits without verifiable details.","uptime_documented":0.0,"version_stability":30.0,"breaking_changes_history":0.0,"error_recovery":20.0,"idempotency_support":"false","idempotency_notes":null,"pagination_style":"none","retry_guidance_documented":false,"known_agent_gotchas":["The README references an “MCP-style tool orchestration” approach, but no actual MCP server interface/tool contracts are provided in the reviewed content, so agent integration may require custom wiring.","LLM planning agent behavior is described at a high level (reflection/trace explainability), but there are no documented guarantees about determinism, tool selection constraints, or safe failure modes.","No API-level pagination, rate limit headers, or error-code mapping is documented here, which can cause brittle automation around list/query endpoints."]}}