Air Quality Index Forecasting using Time-Series Data Science
Forecasts next-day AQI levels for a city zone using historical pollutant and weather time-series data with a seasonal ARIMA model, validated against actual monitoring station readings.
- Project code
- AUX-DSC-1809
- Domain
- Data Science
- Type
- Software project
- Level · Year
- Beginner · 2024-25
Technologies and components
What is included
- Complete source code
- Database / dataset and setup guide
- Project report (college format)
- PPT for review and viva
- Installation and demo support
- Viva question guidance
More Data Science Projects
House Price Prediction using Advanced Regression Techniques
Applies gradient-boosted regression and feature-engineered location and amenity data to predict residential property prices, achieving an…
View project →Data Science · IntermediateCustomer Segmentation using Unsupervised Clustering Algorithms
Segments a retailer's customer base into behaviourally distinct groups using RFM features and K-Means clustering, informing targeted camp…
View project →Data Science · AdvancedTime-Series Sales Forecasting using ARIMA and LSTM Models
Compares statistical ARIMA and deep-learning LSTM approaches for monthly sales forecasting, benchmarking forecast accuracy across a two-y…
View project →Data Science · AdvancedDisease Outbreak Prediction using Epidemiological Data Science
Models historical case-count, mobility and climate data to forecast localised disease-outbreak risk a week in advance, aiding public-heal…
View project →Data Science · BeginnerMovie Recommendation System using Collaborative Filtering
Recommends films to users based on rating-pattern similarity across a matrix-factorisation collaborative filtering model, evaluated on th…
View project →Data Science · IntermediateLoan Default Risk Prediction using Data Science Pipeline
Builds an end-to-end pipeline from raw applicant data to a calibrated default-risk score using logistic regression and gradient boosting,…
View project →Frequently asked questions
Can I get the Air Quality Index Forecasting using Time-Series Data Science project for my final year?
Yes. This project (code AUX-DSC-1809) is available as a software project kit for the 2024-25 academic year. Contact us on WhatsApp to request it.
Can this project be customised?
Yes. Features, technology and documentation can be modified to suit your guide and college requirements.
Which departments is this project suitable for?
CSE, IT, AI & DS, BCA and MCA students, and ECE students interested in software.
Get this project with full support
Ask about customisation, delivery time and viva support.
