Projects & Outcomes

Our expertise spans across various industries, leveraging advanced technologies and innovative methodologies to drive efficiency and unlock new opportunities.
Explore our portfolio to see how Datanism Solutions Consulting can help your organisation thrive in the digital age.
Each project we undertake is a testament to our commitment to excellence, innovation, and client satisfaction.
Below, we list detailed descriptions of some of our most impactful projects, highlighting the diverse range of services we offer and the transformative results we’ve achieved for our clients.

Learn more ->

Project:

Automated Content Curation on X Platform

Automate Post Aggregation from Reddit and Content Generation of Tweets on X Platform (formerly Twitter).

Overview

In this project, we developed an advanced automation solution designed to streamline the process of aggregating posts from Reddit and generating tweets for the X platform (formerly known as Twitter). The solution harnesses the power of Reddit APIs, Twitter APIs, and the ChatGPT API, ensuring seamless integration and efficient content generation.

Project Scope

The project’s primary goal was to create an automated system capable of:

  1. Aggregating Posts from Reddit: Using Reddit’s APIs, the system extracts relevant posts based on predefined keywords, subreddits, and other criteria. This ensures that the content gathered is both pertinent and valuable for the target audience.
  2. Generating Tweets: Leveraging the ChatGPT API, the solution transforms the aggregated Reddit posts into concise, engaging tweets. The tweets are crafted to maintain the essence of the original content while adhering to the character limits and stylistic guidelines of the X platform.
  3. Publishing Tweets: The system utilises Twitter’s APIs to schedule and publish the generated tweets. This automation ensures consistent and timely posting, increasing engagement and maintaining an active social media presence.

Technical Implementation

Click for details.

Reddit API Integration:

  • Utilised Reddit’s API to fetch posts based on specific keywords and subreddits.
  • Implemented filters to ensure the relevance and quality of the aggregated content.
  • Scheduled periodic API calls to keep the content updated.

Content Generation with ChatGPT API:

  • Integrated the ChatGPT API to process the aggregated Reddit content.
  • Developed algorithms to summarise and transform Reddit posts into tweet-friendly formats.
  • Ensured the generated tweets were coherent, engaging, and suitable for the target audience on the X platform.

Twitter API Integration:

  • Used Twitter’s API to automate the scheduling and publishing of tweets.
  • Implemented mechanisms to handle tweet formatting, hashtag inclusion, and content tagging.
  • Ensured compliance with Twitter’s posting guidelines and rate limits.

Solution Characteristics

  • Efficiency: The automation reduces the time and effort required for manual content curation and tweet generation.
  • Consistency: Maintains a steady stream of relevant and engaging content on the X platform, enhancing follower engagement.
  • Scalability: The solution can be scaled to include additional sources of content or expanded to other social media platforms.

Project:

Telegram Bot Development for Automated Public Service

Automate collection of public data on a governmental website for data preprocessing and dissemination on Telegram public channel with free access. Additionally, curated data are specifically shared on a private channel for a payable fee as a paid service.

Overview

In this project, we developed a comprehensive solution to automate the collection, preprocessing, and dissemination of public data from a governmental website. This project involved two primary dissemination channels: a free access public Telegram channel and a private, subscription-based Telegram channel. Our solution ensures timely, accurate, and efficient data handling, leveraging the power of automation to provide valuable insights and information to a wide audience.

Project Scope

The project’s main objectives were to:

  1. Automate Data Collection: Implement a system that automatically scrapes public data from a specified governmental website. The data includes various public records, reports, and updates that are vital for the targeted audience.
  2. Data Preprocessing: Develop algorithms to clean, preprocess, and standardise the collected data. This step ensures that the data is accurate, consistent, and ready for dissemination.
  3. Public Dissemination on Telegram: Create a public Telegram channel where the preprocessed data is shared for free. This channel provides users with easy access to valuable public information, enhancing transparency and public awareness.
  4. Private Dissemination for Paid Subscribers: Establish a private Telegram channel that offers curated, high-value data and insights for a subscription fee. This channel caters to users who require more detailed and specialised information as they are generated.

Technical Implementation

Click for details.

Web Scraping and Data Collection:

  • Utilised web scraping tools and techniques to extract data from the governmental website.
  • Scheduled regular scraping intervals to ensure the data is up-to-date.
  • Implemented error handling and data validation mechanisms to maintain the accuracy and reliability of the collected data.

Data Preprocessing:

  • Applied data cleaning techniques to remove duplicates, correct errors, and handle missing values.
  • Standardised data formats to ensure consistency.

Telegram Integration:

  • Integrated with Telegram’s API to automate the posting of data on both public and private channels.
  • Designed a user-friendly interface for managing the content shared on the channels.
  • Implemented subscription management for the private channel, including payment processing and access control.

Solution Characteristics

  • Enhanced Public Access to Information: The public Telegram channel provides easy access to important governmental data, promoting transparency and public awareness.
  • Value-Added Services for Subscribers: The private channel offers curated and specialised data, providing additional value for subscribers willing to pay for in-depth insights.
  • Efficiency and Accuracy: Automation reduces the manual effort required for data collection and processing, ensuring timely and accurate dissemination.
  • Scalability: The system is designed to handle increasing amounts of data and can be easily scaled to include additional data sources or dissemination platforms.

Project:

Auto-tracking Social Media Mentions on X Platform

Automated Identification and Response to Mentions on X Platform (formerly Twitter)

Overview

In this innovative project, we developed an automated solution to identify mentions on the X platform (formerly Twitter) and generate immediate actionable responses using the ChatGPT API. This system integrates data from a specified web service API to inform and personalise responses, ensuring timely and relevant engagement with users. The primary objective was to streamline social media interactions, enhance customer engagement, and improve response times using advanced AI technologies

Project Scope

The project encompassed the following key objectives:

  1. Real-Time Mention Detection: Implement a Twitter API-based system that continuously monitors the X platform for mentions of specific keywords, hashtags, or user handles.
  2. Actionable Response Generation: Utilise the ChatGPT API to compose immediate, contextually appropriate responses based on the detected mentions.
  3. Integration with Web Service API: Leverage data from a given web service API to enrich the responses, ensuring they are informed and relevant to the user’s query or mention.
  4. Automated Posting: Automatically post the generated responses on the X platform, ensuring timely interaction with users.

Technical Implementation

Click for details.

Mention Detection on X Platform:

  • Integrated with Twitter’s API to monitor mentions of specific keywords, hashtags, or user handles in real-time.
  • Developed algorithms to filter and prioritise mentions based on relevance and urgency.

Response Generation with ChatGPT API:

  • Integrated the ChatGPT API to generate responses tailored to the detected mentions.
  • Used natural language processing (NLP) techniques to ensure the responses are coherent, contextually appropriate, and engaging.

Data Enrichment from Web Service API:

  • Connected to a specified web service API to fetch additional data required to inform and personalise responses.
  • Ensured that the responses incorporate real-time data, enhancing their relevance and accuracy.

Automated Posting:

  • Utilised Twitter’s API to automate the posting of generated responses.
  • Implemented safeguards to ensure responses adhere to the platform’s guidelines and policies.

Solution Characteristics

  • Enhanced Customer Engagement: Automated, real-time responses ensure prompt interaction with users, improving engagement and satisfaction.
  • Efficiency and Scalability: Automation significantly reduces the manual effort required for monitoring and responding to mentions, allowing for scalable social media management.
  • Personalised Interactions: Leveraging data from the web service API ensures responses are relevant and personalised, enhancing the user experience.
  • Timely Responses: The system’s real-time capabilities ensure that users receive immediate responses, which is crucial for maintaining active and positive engagement on social media.

Project:

Automated News Bot on X Platform

An automated news agency that posts news on X platform. News are fetched from a given news web service API for preprocessing. News pieces are composed by ChatGPT API and posted out on a predefined schedule.

Overview

This project involved the development of an automated news agency that efficiently posts news updates on the X platform (formerly Twitter). The solution fetches news from a specified news web service API, preprocesses the information, and uses the ChatGPT API to compose and schedule posts. This ensures timely and relevant news delivery, enhancing user engagement and providing real-time information to followers.

Project Scope

The project’s primary objectives were:

  1. Automate News Collection: Fetch news articles and updates from a given news web service API.
  2. Data Preprocessing: Clean and preprocess the fetched news data to ensure accuracy and relevance.
  3. Automate Content Creation: Utilise the ChatGPT API to compose engaging news pieces based on the preprocessed data.
  4. Schedule and Post News: Implement a predefined posting schedule to ensure regular and timely updates on the X platform.

Technical Implementation

Click for details.

News Collection from Web Service API:

  • Integrated with a specified news web service API to automatically retrieve the latest news articles.
  • Ensured continuous and timely fetching of news data to keep the content up-to-date.

Data Preprocessing:

  • Applied data cleaning techniques to filter out irrelevant or redundant information.
  • Standardised the format of news articles to ensure consistency and readability.
  • Used natural language processing (NLP) methods to extract key information and categorise news topics.

Content Creation with ChatGPT API:

  • Leveraged the ChatGPT API to generate engaging and informative news pieces.
  • Ensured the generated content was coherent, accurate, and aligned with the tone and style of a professional news agency.
  • Customised responses based on the type and importance of the news, making the content more relevant and engaging.

Scheduling and Posting:

  • Developed a scheduling system to automate the timing of news posts.
  • Integrated with Twitter’s API to post the news updates according to the predefined schedule.
  • Implemented monitoring and error-handling mechanisms to ensure the reliability of the posting process.

Solution Characteristics

  • Timely and Regular Updates: The automated system ensures that news is posted promptly and consistently, keeping followers informed in real-time.
  • Enhanced Engagement: The use of the ChatGPT API to compose news pieces ensures that the content is engaging and reader-friendly, boosting user interaction.
  • Operational Efficiency: Automation reduces the manual effort required for news collection, processing, and posting, allowing the team to focus on more strategic tasks.
  • Scalability: The system is designed to handle an increasing volume of news data and can easily scale to include additional news sources or expand to other social media platforms.

Project:

Automated User Status Monitoring on Skype

Automated Skype User Status Monitoring for Marketing Strategy

Overview

In this project, we developed an automated system to monitor Skype user statuses and track user activity changes. The solution captures changes in user status, such as when users become online, offline, away, or busy, and automatically emails these updates to designated recipients. This real-time information enables businesses to develop and implement actionable marketing strategies based on user availability and activity patterns.

Project Scope

The primary objectives of this project were:

  1. Real-Time Status Monitoring: Continuously monitor Skype user statuses to detect any changes in user activity.
  2. Automated Notifications: Send email notifications to designated recipients whenever a change in user status is detected.
  3. Data Analysis for Marketing Strategy: Provide actionable insights by analysing user activity patterns, aiding in the development of effective marketing strategies.

Technical Implementation

Click for details.

Skype User Status Monitoring:

  • Integrated with the Skype API to continuously monitor user statuses.
  • Developed a robust tracking system to detect changes in user statuses, such as online, offline, away, and busy.

Automated Email Notifications:

  • Configured an email notification system to send real-time updates to designated recipients whenever a user status change is detected.
  • Implemented customisable email templates to ensure the notifications are clear, informative, and actionable.
  • Used SMTP servers and email APIs to ensure reliable and timely delivery of notifications.

Data Analysis and Reporting:

  • Collected and analysed user status data to identify patterns and trends in user activity.
  • Developed a reporting system to generate insights and summaries that can inform marketing strategies.
  • Provided actionable recommendations based on the analysis to help businesses optimise their engagement and outreach efforts.

Solution Characteristics

  • Timely and Relevant Information: Real-time monitoring and notifications ensure that businesses are immediately informed of user status changes, allowing for prompt action.
  • Enhanced Marketing Strategies: By understanding user activity patterns, businesses can tailor their marketing efforts to engage users at the most opportune times.
  • Operational Efficiency: Automation reduces the manual effort required to monitor user statuses and send notifications, freeing up resources for more strategic tasks.
  • Scalability: The system can easily scale to monitor a large number of users and send notifications to multiple recipients, accommodating the needs of growing businesses.
Connect with us on your Data Automation Needs ->
Get Started