Microsoft Engage program 2022
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Updated
May 29, 2022 - Jupyter Notebook
Microsoft Engage program 2022
This repo was created as a part of project submission for Microsoft Engage 2022
A Webapp to find mission people and lost pets, implemented as a part of Face recognition challenge in Microsoft Engage 2022.
Car Data Analyzer Microsoft Engage 2022
Indian Car Market Analysis & Price Prediction: A Microsoft Engage Project Using Random Forest and K-Means Clustering
Face Recognition Project under Microsoft Engage 2022
Repository for Challenge - 3 (Algorithms) project made during Microsoft Engage 2022 by Aaheli Paul
Three Factor Authentication System, Add an additional layer of security to the old 2FA using Facial Biometric Scan.
This is a Face Recognition Web-Application which may help to save the attendance and can track the record of missing people or finding some wanted person(criminal). It can also detect our emotions(expressions).
Microsoft Engage 2022 | Data Analysis Application
This is a data analysis project with price prediction with Random Forest Algorithm of cars in Indian market and also consist of customer segmentation with the help of Clustering analysis with KNN algorithm
A Web App to help find missing people using Face Recognition. Developed for the Microsoft Intern Engage 2022 Programme.
📚 Microsoft Engage Resources
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