a sample recommendation recall algorithm framework
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Updated
Sep 11, 2019 - Python
a sample recommendation recall algorithm framework
WELCOME TO THE PACK MFER!!! This app finds vehicle events and searches for vehicle recalls.
A dashboard for analysis of food safety recalls.
Tiny, dependency-free Node.js client for public US recall APIs. Originally published 2015; rewritten 2026.
Search and retrieve US consumer product recalls from the CPSC (Consumer Product Safety Commission) via MCP. STDIO or Streamable HTTP.
Vehicle safety data from NHTSA — recalls, complaints, crash ratings, investigations, VIN decoding.
Clarissa - NHTSA Vehicle Safety Assistant. Get vehicle safety information, recalls, and complaints powered by AI.
Free, keyless JSON API for FDA recalls — drug, device and food enforcement reports (openFDA). Endpoints, search syntax, curl examples and filters.
Offline, explainable matching of owned-product inventories against CPSC recall data
Search official NHTSA safety recalls by vehicle make, model, and model-year range
Uses FDA API to return Drug Enforcement Recalls -- FDA Recall Enterprise System (RES) to show Class I (most serious) active recalls filtered to 3 years back as sometimes they leave them open for extended periods. It shows Drug Adverse Events (FAERS) for a specific med. It shows Food Enforcement Recalls from Allergens
Multi-platform NHTSA vehicle recall lookup library. Fetch safety recalls by make/model/year with critical recall detection. Supports Java, Android, Python, and TypeScript.
Search CPSC consumer product recalls by keyword, hazard, and manufacturer
Live FDA/CDC food-safety dashboard: recalls & outbreaks near you, named locations, farmers markets, symptom guide, grow-your-own, + a provider-agnostic AI assistant and MCP server.
In this repository, We are going to be working on upGrad's lead score data set and to see how can we solve the problem using Exploratory data analysis techniques and using supervised machine learning models.
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