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Air-Quality-Index-prediction_with_deployment

Air Quality Index (AQI) Prediction with Deployment The Air Quality Index (AQI) Prediction with Deployment project is a machine learning-based application designed to predict air quality using environmental and pollutant-related parameters such as PM2.5, PM10, NO₂, SO₂, CO, O₃, temperature, and humidity.

Details

External ID
1393117530
Source
GITHUB
Company
—
Product
Air-Quality-Index-prediction_with_deployment
Website domain
github.com
Launched
Sept. 28, 2026
Cohort
—
Upvotes
9
Upvotes percentile
0.21822956699974377
Tags
—
Fetched at
Oct. 1, 2026, 1:02 a.m.
Updated at
Oct. 1, 2026, 1:02 a.m.

Enrichment

Theme
outdoor safety and environmental tech
Vertical
Energy & climate
Function
Analytics & BI
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
machine learning predictor for air quality index
Manually corrected
False

Could you build this?

Yes This is a standard tabular machine learning regression/classification tutorial project deployed via a lightweight web interface like Streamlit or Flask.

Competitors

Other products that read as similar to this one — 12 launches clear the similarity bar, closest 8 shown.

Attention rank: #12 of 13 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 16 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a analytics & bi tool for Legal yet.