An interactive web application developed with Streamlit, designed for making predictions using various machine learning models. The app dynamically generates forms and pages from JSON configuration files. ⭐ If you found this helpful, consider starring the repo!
Description:
We need a Weapon Detection System project to enhance the current capabilities of our security and safety. This feature will involve detecting various types of weapons in images or video feeds using AI/ML techniques. The detection system should be able to recognize common weapon types such as guns, knives, etc., and provide real-time alerts when a weapon is detected.
Tasks:
Research and select suitable datasets for weapon detection.
Develop or integrate a pre-trained model capable of detecting weapons in real-time.
Implement a solution using [insert tech stack like Python, TensorFlow, OpenCV, etc.].
Create a user interface to display results (if applicable).
Test and evaluate the system for accuracy and performance.
Document the workflow, model architecture, and any other relevant information in the repository.
Expected Outcome:
A functional weapon detection system integrated into the project, capable of identifying weapons with high accuracy in real-time scenarios.
Title: Weapon Detection System
Description: We need a Weapon Detection System project to enhance the current capabilities of our security and safety. This feature will involve detecting various types of weapons in images or video feeds using AI/ML techniques. The detection system should be able to recognize common weapon types such as guns, knives, etc., and provide real-time alerts when a weapon is detected.
Tasks: Research and select suitable datasets for weapon detection. Develop or integrate a pre-trained model capable of detecting weapons in real-time. Implement a solution using [insert tech stack like Python, TensorFlow, OpenCV, etc.]. Create a user interface to display results (if applicable). Test and evaluate the system for accuracy and performance. Document the workflow, model architecture, and any other relevant information in the repository. Expected Outcome: A functional weapon detection system integrated into the project, capable of identifying weapons with high accuracy in real-time scenarios.