This project is a Thief Detection WebApp which ensures the safety of your home while you're away or in danger when residing in the premises. It would be a complete stop solution that makes it more feasible especially in dire circumstances.
Join us in our cause to support a crime free country for the wellbeing of the society!!.. 🚀
Glad to see your interest in adding your value to this social app. Warm welcome to all and this project accomodates everyone according to the tech stack one belongs to
Express your interest over issues with approach --> Get an issue assigned --> Work on the issue --> Create a PR with issue number --> If changes addressed, resolve it --> Wait for PR to get merged (Kindly be patient as it's a 2 step approval)
You can find the overall project idea and description here
- Detects whether a person who is on doorstep is thief or not based on the time consideration parameters and person's behaviour /actions
- If person is recognized as a thief, it promptly sends out the alert to house owner using notification along with attached image of the person
- Along with it, it also alerts police stations / protection centers nearest to you with the complete details of the occurence in a timeline
- Complaint can also be lodged virtually with all the inputs we gain out of the previous services mentioned
Programming Languages : Python, HTML, CSS, Javascript
Domain Knowledge : Machine Learning, Computer Vision, Deep Learning, DJango, IoT
Python software installed --> You can install it from here if not installed previously - https://www.python.org/
Any python supporting IDE --> Jupyter Notebook/Google Colab (Only in .ipynb format)
If you would like to raise an issue you can utilize the form provided, do make sure to mention the kind of feature, feature title, short description of the feature and how would you expect it to work. As a good practice, always link the issue number with pull request. (#issue number : Give this details when you raise a PR).
If you want to work on this unique project and share it with the world, you can do that here. To get more familiar with the workflow, go through the contributing guidelines here.
Subsequently, also go through the GitHub documentation on creating a pull request.
https://neha07kumari.github.io/Thief_Detection/
🎇🎇Must Visit Files : CONTRIBUTING GUIDELINES & PROJECT DESCRIPTION
Note : One should follow this template while creating a pull request.
- Make sure you do not copy codes from external sources because that work will not be considered. Plagiarism is strictly not allowed.
- You can only work on issues that have been assigned to you.
- If you want to contribute, it's preferable that you express your comment on an issue and get it assigned before working and then create a PR and link your PR to that issue.
- If you have modified/added code, make sure the code compiles before submitting.
- Strictly use snake_case (underscore_separated) in your file_name and push it in the correct folder.
- Add Screenshots to help us know what the idea is all about and how is it projected.
- Do not update the README.md.
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Fork the repository
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Clone your forked repository using terminal or gitbash.
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Make changes to the cloned repository
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Add, Commit and Push
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Then in GitHub, in your cloned repository, find the option to make a pull request.
print("Start contributing for Thief_Detection")
This project was a part of these open source programs.
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| Level of Issues | Points Allocated |
|---|---|
| Beginner | 10 Points 🔰 |
| Easy | 20 Points 🌱 |
| Medium | 30 Points 🌕 |
| Hard | 40 Points 🔥 |
You can check out the project leaderboard here : SWOC Leaderboard
Thanks goes to these Wonderful People. Contributions of any kind are welcome!🚀
 Prathima Kadari |
You can find our Code of Conduct here.
This project follows the Mozilla Public License.
 Neha Kumari |
If you liked working on this project, do ⭐ and share this repository.
🎉 🎊 😃 Happy Contributing 😃 🎊 🎉
If you want to contact me, you can reach me out through Discord or Socials
© 2021 Neha Kumari
