- Intern Engage is a program for engineering students across India graduating in 2024. It is designed to provide a platform for engineering students to accelerate their growth and foster industry-relevant skills through mentorship, coding challenges, workshops and networking opportunities.
- Intern Engage offers multiple engagement and evaluation touchpoints where participants will interact with Microsoft mentors, leaders, interns throughout the course of the program.
- Built with Django and support responsiveness, hence suitable for (Mobile, PC, Tablets)
- It includes ML models like logistic regression, support vector machines, random forest.
- Combination of all ML models done with Voting Classifier
- Combined all different detection and recognition models into a pipeline.
Deployed Project Link: https://soham-engage-ibs.herokuapp.com/
FrontEnd :
BackEnd :
FrameWork :
Cloud Service :
Database :
- Install HomeBrew on You Mac :
$ /bin/bash -c "$(curl -fsSL https://github.com/raw/Homebrew/install/HEAD/install.sh)" - Install Python3 : $ brew install python3
- Install PIP : $ python3 get-pip.py
- Install requirements : $ pip3 install -r requirements.txt
- Install CMake : $ brew install cmake
- Install Dlib : $ brew install dlib
- Now open the folder in terminal
- Run in Local Host : $ python3 manage.py runserver
- Visit : http://localhost:8000/
[NOTE] All commands preceeding $ are to be executed in Terminal.
These instruction are specially made for MacOS.
This Project is a part of Microsoft Engage 2022 Program. Submitted by Soham Samanta