Analysis of female literacy rate and also their evolution, this data is useful for the government and also NGO, so that they can implement the new schemes and strategies in order to increase the female literacy rate in the areas where there is a low female literacy rate. One place station where we find the district in a particular state is having a high or low female literacy rate and focus on improvements, schemes, and strategies in order to improve the female literacy rate.
What it does
This project mainly aims to increase Female Power in terms of education, independence, and also health.
How we built it
We have researched the data from the census of the past 5 years and collected the female literacy rates in the district and states and created an excel sheet. The analysis of the data is done using Tableau and prediction using Python and machine learning models.
Accomplishments that we're proud of
This application helps the government and NGOs to get the information about the high and low literacy districts and states at one place, which helps them to focus directly on the low places.
What we learned
Time management, teamworking skills, and competitiveness.
Built With
- data
- datascience
- html
- machine-learning
- tableau
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