BuildWithAI Challenge 1

The Pandemic has impacted education - classes have moved online, students have been isolated on screens and coping with this change. Despite the challenges, the digital school has the potential to transform education. How can we empower students and teachers in this new digital school paradigm. In this challenge, we are inviting AI-powered solutions for the digital school of tomorrow.

DATASET: Feel free to use any dataset of your choice.

DATASETS

https://data.ed.gov/ https://data.world/datasets/education https://data.gov.in/sector/higher-education https://github.com/mdsaifk/Student-Dropout-Prediction/tree/main/Data https://github.com/hilmarh/student-dropout-prediction/tree/master/datasets https://github.com/iampratheesh/Student-Dropout-Prediction/blob/master/student%20info.csv https://www.kaggle.com/spscientist/students-performance-in-exams https://www.kaggle.com/aljarah/xAPI-Edu-Data https://www.kaggle.com/janiobachmann/math-students?select=student-mat.csv https://www.kaggle.com/kwadwoofosu/predict-test-scores-of-students https://www.kaggle.com/namanmanchanda/entrepreneurial-competency-in-university-students https://www.kaggle.com/uciml/student-alcohol-consumption?select=student-por.csv https://www.kaggle.com/passnyc/data-science-for-good https://www.kaggle.com/landlord/education-and-covid19

Development Environment

VSCode and Jupyter Notebook are used for development and debugging. Jupyter Notebook is a web based interactive environment often used for experiments, whereas VSCode is used to get a typical experience of IDE for developers.

Data Analysis and Mining

Data Mining and Analysis plays vital role in Predictive Analytics. It lets you inspect, cleanse, explore, manipulate, transform your data to identify hidden patterns and relationships in data. You can make use of these popular libraries to model the solution.

Data Visualization

Data Visualization helps you depict insight found in data. Avail the libraries added here to represent identified patterns and relationships from data graphically for better understanding and presentation.

Text Mining

Libraries in this group are used for analysis and processing of unstructured natural language. The data, as in its original form aren't used as it has to go through processing pipeline to become suitable for applying machine learning techniques and algorithms.

Image Analysis

Image Analysis plays vital role in Visual Analytics. It lets us inspect, cleanse, explore, augment and transform images to prepare data for training and prediction.

Machine learning algorithms and techniques

To build a model for Predictive Analytics, you can apply traditional machine learning algorithms and techniques using the most popular scikit-learn. Or you can build your own neural network to implement deep learning techniques by using the library of your choice from this section.

Request servicing via REST API

Web frameworks help build serving solution as REST APIs. The resources involved for servicing request can be handled by containerising and hosting on hyperscalers.