Mini Project
Data Science
Personal Finance Analytics
Statement parsing, auto-categorisation and spend forecasting
- Python
- Pandas
- Prophet
- Streamlit
- +2
₹2,299₹3,999
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Data Science · Mini Project
CO2 Emission Prediction
Predicts vehicle CO2 output and charts national emission trends
1-2 weeks build
Overview
Two views of emissions in one kit. A regression model trained on the public Canadian vehicle fuel consumption dataset predicts a car's CO2 output from engine size, cylinders, fuel type and consumption. A second dashboard uses Our World in Data country figures to chart emissions, per-capita output and growth for India against other major economies.
What makes it stand up
- 01Vehicle emission regression with feature importance
- 02Linear, random forest and gradient boosting models compared
- 03R-squared and RMSE on a held-out test set in the report
- 04Country trend dashboard with per-capita and total views
- 05What-if calculator for a vehicle's specification
Module breakdown
- 01
Vehicle data
Cleans and encodes fuel type, transmission and class.
- 02
Modelling
Trains and tunes three regression models.
- 03
Explanation
Feature importance and partial dependence plots.
- 04
Country trends
Emission, per-capita and growth charts by country.
- 05
Dashboard
Streamlit calculator and interactive trend charts.
After this, you will be able to
- Explain which vehicle features drive emissions and why
- Defend your choice of regression metric
- Demo a prediction for a car the examiner describes
Technology stack
- Python
- Pandas
- scikit-learn
- Plotly
- Streamlit
- Level
- Mini Project
- Domain
- Data Science
- Build time
- 1-2 weeks
- Difficulty
You receive
- Complete, commented source code
- 60-90 page project report (IEEE format)
- Editable presentation deck
- Architecture, ER and UML diagrams
- Local setup and deployment guide
- Sample dataset or seed data
- Viva question bank with answers
- One 45-minute walkthrough call
- 30 days of doubt-clearing support