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
Streaming Service Comparison Analysis
Compares Netflix, Prime Video and Hotstar catalogues side by side
1-2 weeks build
Overview
Brings public catalogue datasets for Netflix, Amazon Prime Video and Hotstar into one schema, then compares the platforms on genre mix, film versus series share, release years, age ratings and country of origin. A dedicated section looks at Indian content on each service, and an interactive dashboard lets you filter every chart by platform and genre.
What makes it stand up
- 01Unified schema across three differently shaped datasets
- 02Genre, rating and release-year comparisons
- 03Share of Indian titles and languages per platform
- 04Catalogue freshness and content-added-by-year charts
- 05Interactive Plotly dashboard with platform filters
Module breakdown
- 01
Harmonisation
Maps columns, genres and ratings to one schema.
- 02
Cleaning
Handles missing directors, durations and duplicate titles.
- 03
Comparison
Side-by-side genre, type and rating breakdowns.
- 04
Regional focus
Indian titles, languages and year-on-year growth.
- 05
Dashboard
Streamlit app with linked filters and charts.
After this, you will be able to
- Explain how you reconciled mismatched genre labels
- Defend conclusions drawn from catalogue snapshots
- Demo a filtered comparison answering an examiner's question
Technology stack
- Python
- Pandas
- Plotly
- Seaborn
- 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