Claude Agent for Research Automation

@hotanloc

Hello, dear... I checked your project details carefully. I have rich experienced in Web Scraping, Data Extraction, Machine Learning (ML), Python and Artificial Intelligence. I have full experience to develop python code for extracting the specific data from web site with python, HTML, CSS and JavaScript. I am sure for your project and i can complete your project perfectly on time and with high quality. Please send me your message to discuss more about your project. I am waiting your reply now. Thanks.

@webmasters486

Hi there, I’ve reviewed your project and understand you need a Claude-powered agent to unify your buy-side research workflows—from scraping emails, BSE filings, and broker reports to generating company-specific NotebookLM notebooks, Q&A access, and automated podcasts on YouTube—all accessible via a Microsoft Teams bot. I can build a Python-based solution that handles zero-touch IMAP/Graph harvesting, robust company-name attribution, Claude-powered summarization, and NotebookLM orchestration, with slash-style Teams commands for creating notebooks, querying insights, and publishing podcasts. My approach ensures modular, maintainable code with secure API integrations, automated updates for new documents, and clear logging. Each component—Drive organization, NotebookLM, Claude calls, podcast generation, and Teams bot—is designed for reliability and minimal manual intervention. I provide full source code, environment files, and concise documentation for seamless redeployment. I have experience orchestrating multi-API Python workflows, LLM-powered automation, and secure enterprise integrations. I’m available to start immediately, and my hourly rate is competitive. Best regards, Muhammad Adil Portfolio: https://www.freelancer.com/u/webmasters486

@muneeb6767

I can build a Claude-powered Python agent that auto-collects reports from emails/BSE, organizes them by company in Drive, creates NotebookLM notebooks, and integrates a Microsoft Teams bot for commands like create, ask, and podcast publishing to YouTube.

@Azursol

Hello,! I’m excited about the opportunity to help with your project. Based on your requirements, I believe my expertise in Python, Web Scraping aligns perfectly with your needs. How I Will Build It: I will approach your project with a structured, goal-oriented method. Using my experience in Python, Web Scraping, Data Integration, IMAP, Automation, Natural Language Processing, NotebookLM, Claude (Anthropic), Model Context Protocol (MCP), I’ll deliver a solution that not only meets your expectations but is also scalable, efficient, and cleanly coded. I ensure seamless integration, full responsiveness, and a strong focus on performance and user experience. Why Choose Me: - 10 years of experience delivering high-quality web and software projects - Deep understanding of Python, Web Scraping and related technologies - Strong communication and collaboration skills - A proven track record — check out my freelancer portfolio. - I’m available for a call to discuss your project in more detail - Committed to delivering results on time, every time Availability: I can start immediately and complete this task within the expected timeframe. Looking forward to working with you! Best regards, Ali Zahid India

@akkiwadhwa1995

I am an accomplished Gen-ai web developer with a strong proficiency in popular web development frameworks such as Flask and Django, along with expertise in front-end technologies like react. With a keen eye for detail and a commitment to delivering polished, responsive, and user-friendly websites, I bring a wealth of experience to your project. Whether you need a dynamic web application, an e-commerce platform, or a sleek and modern website, I can harness these skills to create a seamless online experience for your users while ensuring efficient backend functionality. Let's collaborate to bring your web development vision to life, with a focus on performance, security, and an engaging user interface.

@abdf2010

Hey, I noticed your project, Claude Agent for Research Automation and believe I can help. My work in Python has prepared me well for this kind of project. Looking forward to hearing your thoughts.

@malkesh3m

⭐ Hello there, My availability is immediate. I read your project post on Python Developer for Claude Agent for Research Automation. We are experienced full-stack Python developers with skill sets in: Python, Django, Flask, FastAPI, Jupyter Notebook, Selenium, Data Visualization, ETL AI/ML & Data Science: Model development, training & deployment, NLP, Computer Vision, Predictive Analytics, Deep Learning React, JavaScript, jQuery, TypeScript, NextJS, React Native NodeJS, ExpressJS Web App Development, Web/API Scraping API Development, Authentication, Authorization SQLAlchemy, PostgresDB, MySQL, SQLite, SQLServer, Datasets Web hosting, Docker, Azure, AWS, GCP, Digital Ocean, GoDaddy, Web Hosting Python Libraries: NumPy, pandas, scikit-learn, TensorFlow, PyTorch, etc. Please send a message so we can quickly discuss your project and proceed further. I am looking forward to hearing from you. Thanks

@Hemantt841

You’re looking to build a Claude-powered research agent that automates pulling documents from your email archive and public sources, organizes them by company in Drive, and integrates with NotebookLM and Microsoft Teams for seamless querying and podcast creation. I understand you need robust company attribution logic, zero-touch scraping from BSE and broker emails, and a Teams bot with slash commands for instant interaction. With over 15 years of experience and 200+ projects completed, I specialize in Python, API integration, web scraping, automation, and natural language processing—all crucial for your project. I have hands-on experience orchestrating LLM workflows and integrating with platforms like Microsoft Graph and YouTube APIs, which fits perfectly with your requirement for Claude and NotebookLM interaction. I will design a secure, modular pipeline that scrapes BSE filings and broker emails via IMAP/Graph, parses and attributes documents accurately, and automates notebook creation inside NotebookLM. The Teams bot will use Microsoft Graph API to handle slash commands, triggering Claude summarizations and podcast script generation with MCP. The entire system will be delivered with clean source code and documentation, aiming for a functional MVP within 4–6 weeks. Let’s discuss how I can help you bring this end-to-end research automation to life.

@amaank66

Hello, With 5+ years of API automation experience at Cubemoons, I can build your end-to-end Claude-powered buy-side research agent—secure, modular, and fully automated. Proposed Architecture Python (FastAPI) orchestration layer Claude API for summarisation, Q&A & podcast scripting Microsoft Graph (Teams bot + email ingestion) IMAP for archive parsing BSE scraping pipeline Google Drive + NotebookLM automation YouTube Data API (private uploads) Dockerized deployment Workflow Zero-Touch Ingestion • Auto-pull broker emails + attachments (1-year archive) • Scrape BSE filings automatically • Robust company attribution (ticker DB + NER + rule engine) • Auto-create and route to correct Drive folders NotebookLM Automation • One notebook per company • All new docs auto-ingested • Claude generates structured summaries • Trigger updates whenever new mail or filings arrive Teams Bot (Slash Commands) /create ITC → folder + notebook in <2 mins /ask HDFCBANK margins → instant Claude Q&A /podcast ITC → script → TTS → auto-upload to private YouTube Governance & Reliability • Retry queues + logging • Secure token storage • Deterministic folder mapping • Clean modular services for scaling Deliverables: source code, env files, Docker setup, and README for internal redeploy. Best regards, Amaan Khan P. CUBEMOONS PVT LTD.

@somendersingh96

I will build a Claude-powered research orchestration agent that centralizes your buy-side workflow—automatically ingesting documents from email, BSE filings, and broker reports, organizing them by company, and enabling instant analysis through Microsoft Teams commands. The outcome will be a fully automated pipeline that collects research material, routes it to the correct Drive folder, creates/updates NotebookLM notebooks, and allows you to query insights or generate podcast summaries on demand. Tech stack: Python orchestration with FastAPI, IMAP/Microsoft Graph for email ingestion, scraping pipelines for BSE/screener data, Claude API for document summarization and reasoning, Google Drive + NotebookLM API integration, and a Microsoft Teams bot built via Graph commands. Audio generation will convert Claude summaries into podcasts and publish directly to YouTube using the YouTube Data API. Milestones: Week 1 – ingestion pipeline (email/BSE) + company attribution logic Week 2 – Drive automation + NotebookLM notebook creation Week 3 – Teams bot commands (/create, /ask, /podcast) Week 4 – podcast generation, YouTube upload, testing Deliverables include fully documented code, environment configs, automated workflows, and deployment instructions for internal redeployment.

@tamannarajput18

With a demonstrated track record of designing and implementing robust automation systems, I am well-equipped to take on your project to create an end-to-end solution for all your buy-side research workflows. As a skilled full stack developer, my expertise extends to Python-API focusing on backend systems and AI automation which aligns explicitly with your project requirements. I have successfully implemented advanced systems like Claude and NotebookLM before, empowering clients to enhance their productivity and streamline their day-to-day tasks. Moreover, my extensive experience in mobile and web app development bolstered by AI chatbot implementation makes me uniquely suited for the task at hand. I can ensure zero-touch scraping from BSE and prompt IMAP/Graph harvesting for broker emails while keeping the data organized efficiently through precise company-name attribution logic. Reliability is essential when working with Claude calls and seamless integration with NotebookLM and Youtube APIs, something I prioritize through comprehensive testing protocols.

@himanshus642

As someone who specializes in automation and AI-driven workflows, I am confident in my ability to deliver the end-to-end Claude Agent that you're after. With five years of experience under my belt and a focus on utilizing clean architecture and ensuring optimal performance, I can create a solution that seamlessly integrates your buy-side research workflows. My full stack skills will also be incredibly useful when it comes to retrieving and parsing documents from various sources, attributing them correctly using robust company-name logic, and passing them into NotebookLM for question-answering. My proficiency in Python is particularly vital for this project as it will be necessary to harness disparate APIs such as BSE and Graph harvesting for the broker emails. Given the complex nature of these tasks, my experience with Finance Technology systems and secure payment integrations will be valuable in ensuring all processes operate efficiently in a secure manner. I've also worked on projects involving natural language processing (NLP), which is crucial for your need for Claude calls regarding summarization and Q&A functionalities. Looking forward to discussing your project!

@InjectAI

Hi, I fully understand your requirements and can build an end-to-end Claude-powered research agent that centralizes your entire buy-side workflow into one automated system. I have strong Python API integration experience and can securely connect email harvesting, BSE scraping, Drive organization, NotebookLM automation, Teams bot commands, and YouTube publishing into one seamless pipeline. .................. What I will Deliver .................. Zero-touch IMAP / Microsoft Graph email harvesting Automated BSE public filing scraping Accurate company-name detection to prevent mix-ups Auto Drive folder creation per company Automatic NotebookLM notebook creation and document ingestion Claude-powered summarization, Q&A, and podcast script generation Microsoft Teams bot with slash commands: /create /ask /podcast /upload Podcast generation with direct upload to private YouTube Auto-update notebooks when new documents arrive Clean, modular, production-ready Python code Environment files + deployment-ready README .................. Tech Stack .................. Python 3 Claude API Microsoft Graph Google Drive API YouTube Data API Secure cloud deployment I will ensure reliable automation, strong attribution logic, secure API handling, and fast execution meeting your acceptance criteria. Regards,

@Algokage

Hello, I can deliver a Claude-powered agent that automates your buy-side research workflows, pulling data from BSE, emails, and other sources, parsing and organizing it into dedicated Drive folders, integrating with NotebookLM for Q&A, and creating a Teams bot for seamless interaction. I’ll ensure robust company attribution, reliable Claude calls, and secure API integrations with NotebookLM, YouTube, and Microsoft Graph. With 5+ years of Python-API experience and LLM orchestration, I’ll meet your acceptance criteria, including zero-touch scraping, automatic updates, and podcast generation. Send a message to discuss further or see samples of similar projects. Thanks, Adegoke. M

@ixorawebmob

Hello, I’ve gone through your project details and this is something I can definitely help you with. I have 10+ years of experience in mobile and web app development, with a strong background in Python, automation, and API integrations. I understand the importance of seamlessly aggregating research workflows and can build a Claude-powered agent tailored to your needs. My approach prioritizes robust company attribution, reliable data scraping from BSE, and seamless integration with NotebookLM and Microsoft Teams. Here is my portfolio: https://www.freelancer.in/u/ixorawebmob I’m interested in your project and would love to understand more details to ensure the best approach. Could you clarify: 1. What specific companies will the bot need to handle initially? 2. Are there any other data sources or APIs you want to integrate? 3. What’s your desired timeline for the project? Let’s discuss over chat! What specific companies will the bot need to handle initially? Regards, Arpit Jaiswal

@robertw0802

Hi, I’m Robert, a Senior Full-Stack & AI Engineer with over 10 years of experience architecting and delivering SaaS platforms, automation systems, and intelligent applications, specializing in Python, web scraping, and natural language processing. I recently developed an AI-driven research automation pipeline that integrates various data sources, orchestrates powerful language models like Claude, and creates structured outputs for seamless analysis. My deep technical experience aligns well with your goals of automating the aggregation and parsing of research documents. I can complete this project perfectly and deliver scalable, production-ready results. I am committed to clean architecture, structured documentation, CI/CD automation, and OWASP-based security practices. Additionally, all AI models and pipelines will follow strict data-privacy standards and performance validation metrics. Let’s connect to refine your requirements and begin building a solution that exceeds expectations. What specific features or enhancements would you like to prioritize in the initial phase of the project?

@abdullahbhabh

With over a decade's worth of experience under my belt in providing bespoke digital solutions, I am confident that your project, requiring a robust research automation platform and seamless integration across various tools, is one I can execute successfully. Python has been a core part of my skillset since the beginning of my career, and I have honed my automation abilities to be second to none. On top of this, I bring solid knowledge of LLM orchestration systems and an understanding of email scraping and parsing (email retrieval via IMAP/Graph) functionality. Over the years, my dedication to delivering clean, high-quality code, coupled with transparent communication, has attracted continued partnerships with clients like yourself seeking reliability within budget. Your project too demands not just code or simple execution but an involved partnership focused on delivering an optimized result. Let’s get talking now so we can discuss tailoring the perfect Claude-powered agent for all your research automation needs!

@UzeeTech

2021! What a time to need automated workflows for your daily buy-side research. I'm Jaimish, and I specialize in developing clean and scalable software solutions. With solid experience in Python, I am well equipped to handle the core technical needs of creating your end-to-end Claude agent. I understand your need for zero-touch scraping and robust company-name attribution logic within your research process. My extensive experience with APIs, especially those related to storing, parsing, and manipulating data like BSE and IMAP/Graph harvesting, make me a perfect fit for this role. In addition, my hands-on experience with LLM orchestrations similar to Claude ensures that you can count on me to merge all your research workflows under one roof without any mix-ups. One of my key strengths is continuously updating myself on the latest technology trends, and building projects that are future-proof. Your project would be no exception to this - I will use Microsoft Graph to build a Teams bot with slash-style commands as requested and provide you with source code and environment files in a short README so you can easily redeploy internally. With my dedication to quality, performance, security and excellent communication skills, I promise to deliver beyond your expectations while ensuring the job gets done quickly and efficiently. Let's connect today!

@gabormontli

Hi — I build Claude-powered automation pipelines for a living, so this project is right in my wheelhouse. Here's my approach: 1. **Email & BSE harvesting**: Python script using IMAP/MS Graph API to pull broker reports, concall transcripts, and annual reports. BSE filing scraper via their public API. 2. **Company attribution**: NLP-based entity recognition + ticker mapping to auto-sort documents into the correct Google Drive folders. 3. **NotebookLM integration**: Automated notebook creation per company via the NotebookLM API, with auto-refresh when new documents arrive. 4. **Teams bot**: Microsoft Graph bot with slash commands (/create, /ask, /podcast, /upload) — real-time Q&A powered by Claude. 5. **Podcast pipeline**: Claude generates the script, TTS converts to audio, then auto-uploads to your private YouTube channel with titles, descriptions, and chapter markers. Tech stack: Python, Claude API (Anthropic SDK), MS Graph, Google Drive API, Playwright for BSE scraping, FastAPI for the orchestration layer. I can deliver a working MVP within 7 days — fully documented with README and .env setup. Happy to discuss architecture details.