News Scraper & Summarizer module

@datahub0

My passion lies in using data science and artificial intelligence to build scalable, reliable solutions that streamline operations and add value. Your News Scraper & Summarizer module project perfectly aligns with my skillset and experience as a seasoned Data Scientist & AI Automation Expert. I have successfully designed and deployed similar pipelines for major clients, fetching data from various sources and applying data normalization techniques to ensure clean and consistent outputs. With a deep understanding of both AWS and Terraform, I am confident in creating the required infrastructure including Lambda functions, S3 buckets, IAM roles; satisfying your first delivery requirement. Furthermore, my proficiency in Python- the language of choice for data manipulation and analysis-, will be invaluable in developing the source adapters for Times of India, BBC, CNN as well as the normalizer and summarizer code. My natural attention to detail ensures that your specified deliverables - correct JSON schemas, topic rules extraction - would all be met with

@talhaalmasch

Hello, I can build this end-to-end AWS news ingestion and LLM summarization pipeline with scheduled Lambda fetchers, modular source adapters for Times of India, BBC, and CNN, deterministic article_id generation from canonical URLs, raw/normalized/summary storage in S3, duplicate-safe reruns, rule-based topic tagging, JSON schema validation, and daily manifests. I have strong experience in Python, AWS, data pipelines, LLM integrations, API design, automation, testing, and scalable architecture, so I can deliver Terraform/CloudFormation setup, adapter-based source code, unit tests, normalizer/summarizer logic, documented topic rules, sample schemas, and a clear README for local testing, deployment, and adding new sources without changing core pipeline code. Relevant Certifications: AI Fundamentals and the Cloud – AWS Python for Data Science, AI & Development – IBM Databases and SQL for Data Science with Python – IBM Getting Started with Git and GitHub – IBM Python for Everybody Specialization – University of Michigan Regards, Talha Almas Data Scientist / Data Analyst / Full Stack Dev Relevant Skills: Python, AWS Lambda, S3, IAM, Terraform/CloudFormation, LLM Summarization, OpenAI API, Data Pipelines, Web Scraping, JSON Schemas, Unit Testing, Rule-Based Tagging, Modular Architecture, Deduplication

@shibbuquadir

At Paper Perfect, we excel at creating end-to-end data processing solutions, making us the ideal choice for your News Scraper & Summarizer module project. With proficiency in AWS Lambda, S3 storage, and Python - the key elements of your architecture, we are well-equipped to handle complex data flows with ease. We understand your need for an adaptable solution, and our experience in creating modular systems ensures that plugging in new adapters is seamless as it requires no core code changes. Moreover, our expertise goes beyond just building the code. We understand data contracts and have hands-on experience in schema designs that would keep metadata organized and summaries concise as per your requirements. Our proficiency extends to rule-based logic designs too, which means we can effectively implement fine topics tagging such as “elections” or “IPL” through set rules. Lastly, we offer full transparency and document every step of our work - like sample manifests and JSON schemas - ensuring you remain informed and in control throughout the project duration. At Paper Perfect, we don't just build software; we forge long-lasting relationships through trust and superior service. Give us a chance to bring this commitment to your project!

@toqeer74

Implementing an efficient news article pipeline hinges on the proper construction of the AWS Lambda architecture. The need for stable article identifiers through deterministic keys is crucial to avoid duplicates, especially during multiple runs. A modular adapter design will enable easy integration of future sources without altering the core logic, aligning perfectly with your scalability goals. Deliverables will include Terraform templates for infrastructure deployment, robust source adapters for the specified publications, and comprehensive JSON schemas to ensure data consistency. The initial deliverable will be ready within 14 days. What's your deadline, when do you need this live?