MOTOSHARE 🚗🏍️
Turning Idle Vehicles into Shared Rides & Earnings

From Idle to Income. From Parked to Purpose.
Earn by Sharing, Ride by Renting.
Where Owners Earn, Riders Move.
Owners Earn. Riders Move. Motoshare Connects.

With Motoshare, every parked vehicle finds a purpose. Owners earn. Renters ride.
🚀 Everyone wins.

Start Your Journey with Motoshare

error message “$ is not defined”

Check the jQuery version: Ensure that you are using a compatible version of jQuery. In your case, you are referencing jQuery 1.3.2. Consider upgrading to a newer version as jQuery 1.3.2 is quite old and may have compatibility issues with modern browsers.

Double-check the path to the jQuery file to ensure it is correct. Verify that the file exists at the specified location and that the path is relative to your site’s root directory. Or Verify the order of script references: Make sure that the jQuery library is included before your custom script that uses jQuery. The order should be

Check for conflicts with other libraries: If you have other JavaScript libraries included on your page, there might be a conflict with the $ symbol. To avoid conflicts, you can use the noConflict() method. Here’s an example:

Clear browser cache: Sometimes, the browser cache can cause issues with loading the updated JavaScript files. Clear the cache and try again.

Related Posts

Building AI Systems with MLOps Across the United States

If you’re working with artificial intelligence or machine learning anywhere in the United States—whether you’re in the tech hubs of California, the innovation centers of San Francisco,…

Understanding MLOps for AI in the United Kingdom and London

If you work with machine learning or artificial intelligence in the UK, especially in places like London, you’ve probably noticed something. It’s easy to build a smart…

Understanding MLOps for AI Projects in the Netherlands and Amsterdam

If you work with machine learning or artificial intelligence in the Netherlands, especially in places like Amsterdam, you might have noticed a common problem. It’s easy to…

Implementing MLOps for Machine Learning Models in India

If you work with machine learning in cities like Bangalore, Hyderabad, or Chennai, you know it’s not just about building smart models. The real challenge starts when…

Building MLOps for Machine Learning Across Canada

If you’re working with machine learning in Canada’s tech hubs—from the bustling innovation centers of Toronto and Vancouver to the growing scenes in Ottawa, Montreal, and Calgary—you’ve…

Understanding Microservices Architecture for Developers in Bangalore

Hey there! If you build or work with software in Bangalore, you’ve probably heard people talking about microservices. Maybe your team is thinking about switching to this…

0 0 votes
Article Rating
Subscribe
Notify of
guest
0 Comments
Oldest
Newest Most Voted
Inline Feedbacks
View all comments
0
Would love your thoughts, please comment.x
()
x