Google Image Scrapper
Budget: ₹600 – ₹1,500 INR
We are seeking a talented developer to create a image scraper mini-project. The project involves scraping images from the Google search engine based on user input, with a focus on simplicity and functionality.We are looking for a solution with minimal features but efficient performance.
key features-
Search Box: Allow users to input the object they want to search for.
Image Quantity Selection: Provide an option to select the number of images to be downloaded, up to a maximum of 50 images.
Image Format Selection: Allow users to choose the format (PNG, JPG/JPEG, WebP) for downloading the images.
Download Functionality: Download the specified quantity of images automatically upon clicking the download button.
Feedback: Display a confirmation message indicating successful download, and show the downloaded images on the web page.
Labeling and Organizing: Label all downloaded images and create a folder named after the searched object in the local directory. Store all downloaded images of that object in the corresponding folder.
Training Data Set: Implement a small training data set to filter images based on the presence of specific objects. If the searched object matches the trained data set, download images containing that object; otherwise, proceed to the next image.
Default Settings: By default, download up to ten images in JPG/JPEG format. Provide an option for advanced settings to change the default quantity and format.
key features-
Search Box: Allow users to input the object they want to search for.
Image Quantity Selection: Provide an option to select the number of images to be downloaded, up to a maximum of 50 images.
Image Format Selection: Allow users to choose the format (PNG, JPG/JPEG, WebP) for downloading the images.
Download Functionality: Download the specified quantity of images automatically upon clicking the download button.
Feedback: Display a confirmation message indicating successful download, and show the downloaded images on the web page.
Labeling and Organizing: Label all downloaded images and create a folder named after the searched object in the local directory. Store all downloaded images of that object in the corresponding folder.
Training Data Set: Implement a small training data set to filter images based on the presence of specific objects. If the searched object matches the trained data set, download images containing that object; otherwise, proceed to the next image.
Default Settings: By default, download up to ten images in JPG/JPEG format. Provide an option for advanced settings to change the default quantity and format.