Machine Vision Forest Wildfire Detection PROJECT_DESCRIPTION: This project involves developing a solution for wildfire detection using machine vision and deep learning techniques. The ideal freelancer should: - Understand different types of image data a

A Deep learning-based on forest Wildfire Detection in Machine Vision Course,
Explored the challenges associated with traditional methods and the potential of machine vision and deep learning
techniques to address them.
Gained knowledge on different types of image data and how they can be utilized in wildfire detection systems.
Tools: Python IDE, Google Colab and OpenCV.
Link - https://github.com/venkateshdilipgarole/A-Deep-learning-based-on-forest-Wildfire-Detection-in-Machine-Vision-Course-?tab=readme-ov-file#a-deep-learning-based-on-forest-wildfire-detection-in-machine-vision-course-


Gym Application,
Access pre-designed workout plans tailored to different fitness levels and goals.
Users can directly reach out to fitness experts or support through integrated contact features and Calculate Body
Mass Index (BMI) instantly for health and fitness tracking.
Technologies: HTML5, CSS, Bootstrap, JavaScript, MERN.
Link - https://vda-fitness.netlify.app/


Task Manager Application,
Enables users to monitor task statuses in real-time for better workflow organization.
Provides task summary reports via a RESTful APIs, ensuring efficient data presentation and Utilized Node.js and Express.js
to manage server-side operations, API endpoints, and task-related logic.
MongoDB stores user data, task information, and status logs securely and efficiently.
Technologies: HTML5, CSS, JavaScript, MERN.
Link - https://task-manager-ulta.onrender.com/login