1. Winners HackEd V1.0 hackathon conducted by HackerEarth and K12 Techno Services.
2. Winners WIT hackathon conducted by Walchand institute of technology.
3. Finalists at SAWO Open for All Hackathon (Youngest team to qualify to the finals).

• Our main objective via this project is to bring uniformity in the online examination system to conduct fair and secure examinations.
• As the COVID-19 pandemic has changed our lives forever it has parallelly also impacted many student lives which has resulted in various challenges, examination being the major one.
• A safe and secure examination system is the utmost priority in the present time so that all the students get equal opportunity and the score obtained by the student is equivalent to his/her knowledge.
• Our testing tool will be built with the following features-

1. The Admin will have complete right to upload the questions so that questions are not leaked.
2. As soon as student enters his/her login credentials we will constantly match his/her photo with the face on the screen(live face detection) to ensure no malpractice and automatically notify the teacher if student has cheated or not.
3. The test window will automatically be switched to Fullscreen on starting the test and thus no student will be able to open new tabs.
4. On navigating outside the testing windows or pressing unwanted keyboard shortcuts for cheating during examination will result in the test being terminated.
5. Lastly, all the student passwords will be encrypted and the teacher will be able to download the result in his local storage from the Admin section to avoid data manipulation and stealing.

1. Student will able to login only when his/her face will be match by the photographs uploaded by exam authority i.e. this will act as face lock.
2. Whenever student will try to exit full screen without submitting answers then they will be automatically get log out and act as cheated.
3. Teacher can upload question even before one month and exam will only start at given time.
4. We have disabled few keyboard keys like ctrl, shift and right click, Alt+Tab.
5. Results will be automatically get calculated by our application.
6. Whenever student will try to exit full screen without submitting answers then they will be automatically get log out and act as cheated.

We have all in all focus on automation of maximum things to increase usability and also focused our aim to provide ease of use to all our customers.

1. Install all the dependencies stored in requirements.txt (For installing dlib library you need to install visual studio and cmake first).
2. Run app.py.
3. Change directory to face-recognition.
4. Run server.py.
5. Open http://127.0.0.1:5000/ in browser.