Discover How BrightViewData Drives Digital Excellence
Here is a selection of our most notable projects that demonstrate our expertise and success in delivering personalized tech services.
1. Content Automation and Publishing using AI
- Project: Automated Blogging Platform
- Objective: Increasing content output without sacrificing quality, while at the same time being able to customize the AI output and reduce cost.
- Process: We use Python, Flask, PostgreSQL, and GPT models to achieve the objective.
- Before starting the process we talk to clients about what is needed for each blog post (list of topics, categories, meta descriptions, images, excerpts, etc). If the client has an account with API access to OpenAI models we could set up and use their API key, in which case the price of AI content generation falls onto the client’s OpenAI account.
- We then run the app, add a list of topics to our database, send a POST request, and the process is started.
- We can add a blog post every minute for GPT3.5 and every 2-3 minutes for GPT4. We are also setting up to use the Claude 3 AI solution.
- Upon a few blog posts, we would pause the app to let the client take a look at the content published. We offer additional services of editing work if needed.
- Post-publishing we would ensure the quality is optimal based on the client’s request by offering editing services (if needed, usually no editing is required). We also offer help with indexing in search engines, SEO services, and help with structuring the topics for the website to achieve topical authority.
- Outcome: Hundreds of high-quality GPT4 blog posts, or thousands of e-commerce descriptions using GPT3.5 with a variety of topics covered, and time saved. We also do all we can to ensure the pages are indexed in Google, Bing, and other search engines as soon as possible.
- Customizations available – this is what the client can choose:
- AI model and its settings
- Size of the blog posts (number of headings, words, images)
- Avoidance of words, format, targeting keywords
- Detail and specificity of the blog post, and much more.
2. Data Scraping and Organization
- Project: Custom Data Scraping and Management
- Objective: Gathering a large number of queries in a particular niche, organizing it, deduping, and grouping into small groups
- Process:
- We use Python, NLP techniques, and dozens of Python libraries to achieve this.
- We adapted our scripting to particular niche, run our scripts over night to deliver ethically sourced data.
- We then remove duplicates the usual way, then we remove duplicates using semantic meaning, then we group them all into small groups depending on the niche and the level of accuracy needed.
- Later, we can provide additional insights based on large amounts of data and our own database connected to that data after the analysis is completed.
- Outcome: Tens of thousands of unique entries, all grouped neatly and presented clearly to be used, with additional insights if needed.
- Customizations available – this is what the client can choose:
- Topics, queries, or elements to be gathered
- Location from where data is ethically sourced
- Any custom attributes specified
- Level of deduplication/uniqueness to achieve
- Format or location to deliver the data
- Additional Post-processing for further insights
Blog topics scraped, before organization:
Blog topics after basic organization and deduplication using a high similarity threshold to retain as much as data as possible. Those few semantic duplicates can still be removed on a higher threshold:
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