📚 Microsoft Engage Resources
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 2022 | Data Analysis Application
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 program 2022
Car Data Analyzer Microsoft Engage 2022
Indian Car Market Analysis & Price Prediction: A Microsoft Engage Project Using Random Forest and K-Means Clustering
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.
Face Recognition Project under Microsoft Engage 2022
Repository for Challenge - 3 (Algorithms) project made during Microsoft Engage 2022 by Aaheli Paul
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