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0 +Years

Work Experience

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About Us

Technology that tell your brand's story

At Gulzar Soft, we specialize in helping businesses thrive with tailored solutions for every stage of their digital journey. From custom web development and mobile app creation to Python-driven solutions and AI-powered machine learning services, we deliver innovation that meets real-world needs.

As a forward-thinking IT services provider, we’re passionate about creating value through digital marketing, SEO expertise, and e-commerce solutions. Our mission is simple to empower businesses by combining cutting-edge technology with a client-first approach.

We aim to set new standards in the industry by providing reliable, affordable, and innovative IT and digital marketing solutions that make a real impact. Whether you’re looking to optimize operations, build a stronger online presence, or transform with AI and machine learning, we’re here to help.

Our Development Process

Our custom software development process is designed to ensure the highest quality and client satisfaction. Here are the key steps:

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Our Results

Entrepreneurship refers to all new businesses, including self-employment and businesses that never intend to grow big or become registered, while startups refer to the new businesses that intend to grow beyond the solo founder, have employees, and intend to grow large.

Web Scraping
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Artificial Intelligence/ Machine Learning
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Custom App Development
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Website Development
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Why Choose Us

Why choose us ?

Innovation

We're always pushing the boundaries of technology to deliver cutting-edge solutions.

Quality-Focused

We're committed to delivering exceptional quality in every aspect of our work

Value For Money

We provide cost-effective solutions without compromising on quality.

Do you want to explore our outstanding work?

Explore our portfolio to discover how we’ve helped clients achieve their goals through innovative solutions and cutting-edge technology.

Our Team

Meet the expert

Team Gulzarsoft 3

Ch Wasi Ullah

Founder & CEO

WhatsApp Image 2025 09 25 at 10.56.46 aed50e88

Muhammad Farrukh

CTO

This project involved developing advanced web scraping projects scripts to extract detailed property information from real estate websites. The data included property listings, prices (including installment plans), locations, community names, property features, and high-quality images.

The solution was designed to be accurate and scalable, ensuring consistent access to actionable property data for:

  • Real Estate Professionals to understand market trends.
  • Investors to identify lucrative opportunities.
  • Analysts to support data-driven decision-making.

By focusing on compliance with platform policies and using Python-based tools, we ensured the highest standards in data accuracy and usability.

We created scalable and efficient web scraping scripts to extract structured data from e-commerce websites. Key data points collected include product names, prices, availability, reviews, detailed descriptions, and images. This automated data extraction process supported multiple use cases such as:

  • Price Monitoring to track competitor pricing trends.
  • Market Research to analyze customer preferences.
  • Inventory Tracking for better stock management.

By leveraging tools like Beautiful Soup, Scrapy, and Selenium, we ensured the scraping process handled complex website architectures. The extracted data was clean, accurate, and ready for actionable insights while adhering to website terms of service.

NEWS BRIEF

In this project, we implemented a system for Information Extraction (IE) from raw news articles. The system automatically extracts structured data such as entities, relationships, events, and metadata from unstructured text, making it easier for businesses to analyze and utilize news content.

Objective

The goal of this project is to extract key pieces of information from news articles, such as:

  • Translation Translate the text into Chinese
  • Entities (e.g., persons, organizations, locations)
  • Events mentioned in the article
  • Sentiments from various perspectives
  • Metadata such as news source, category, and credibility ratings

This data is utilized for:

  • Automated content analysis
  • Market research
  • Media monitoring
  • News aggregation

Tools & Technologies Used

  • Python: The primary programming language for text processing.
  • Natural Language Processing (NLP) Libraries:
    • spaCy: For Named Entity Recognition (NER), dependency parsing, and relation extraction.
    • OpenAi: For translation, extracting sentiments and collecting metadata 

Key Features

  1. Entity Extraction:
    • Identify and extract entities such as people, organizations, locations, and dates.
  2. Language Translation:
    • Translate the title and description to Chinese and in any other language that client requires.
  3. Event Extraction:
    • Detect significant events, such as demands for extradition or political developments.
  1. Sentiment Extraction:
    • Extract sentiment from different comments, categorizing them into neutral, left-wing, and right-wing perspectives.
  2. Metadata Extraction:

Extract additional metadata such as the news source, category, importance rating, and timeliness rating.