Mini Project
Data Science
Personal Finance Analytics
Statement parsing, auto-categorisation and spend forecasting
- Python
- Pandas
- Prophet
- Streamlit
- +2
₹2,299₹3,999
4.5/198 reviews
Data Science · Mini Project
Government Budget Analysis
Breaks down Union Budget allocations and how they shift year to year
1-2 weeks build
Overview
Takes the Union Budget figures published by the Ministry of Finance and organises them by ministry and sector across several years. The kit charts where each rupee comes from and goes, compares budget estimates with revised estimates, and tracks the share given to education, health, defence and infrastructure. A dashboard presents the story with treemaps and waterfall charts.
What makes it stand up
- 01Multi-year budget tables cleaned into one dataset
- 02Where-the-rupee-comes-from and goes-to breakdowns
- 03Budget estimate versus revised estimate comparison
- 04Sector share trends for education, health and defence
- 05Treemap and waterfall charts in a Streamlit dashboard
Module breakdown
- 01
Collection
Structures published budget tables by year and ministry.
- 02
Cleaning
Aligns ministry names that changed across years.
- 03
Allocation analysis
Shares and growth of each sector over time.
- 04
Estimates check
Gaps between budgeted and revised figures.
- 05
Dashboard
Treemaps, waterfalls and year selectors.
After this, you will be able to
- Explain the difference between budget and revised estimates
- Defend the sector groupings you chose
- Present one sector's funding story with evidence
Technology stack
- Python
- Pandas
- Plotly
- Matplotlib
- 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