Writing a parser with a drop recognition

A deep technical verification of three PDF files for authenticity and possible signs of editing or forgery is required. Not only a visual assessment of the documents is needed. The performer must have a good understanding of the internal structure of PDF files and be able to analyze: file metadata; PDF structure and individual objects; creation history and possible editing; software used; embedded fonts, images, layers, and other elements; possible signs of re-saving, conversion, modifications, or backdating of the document; any technical discrepancies that may indicate manipulation of the files. Based on the verification results, a clear written conclusion regarding each file must be provided, indicating the identified signs, risks, and limitations of the verification. We are considering specialists who have practical experience in digital forensics, PDF document analysis, metadata, or verifying electronic files for authenticity. In your response, please briefly describe your experience, methods, and tools that you use for such verification.

The indicator for use in trading should determine certain ranges with history and analyze them with the current one.

Looking for a developer to create an AI assistant based on OpenAI GPT-5.5 with integration of Tourvisor API (Tour Search).What needs to be implementedBackend Preferably: Python (FastAPI) or Node.js The backend must have a REST API for integration with external services.Integration with OpenAI It is necessary to use OpenAI API (GPT-5.5). The AI must: conduct a dialogue with the client; remember the conversation history; automatically determine the language (Russian/Kazakh); respond as a travel agency manager; use a system prompt and knowledge base.Integration with Tourvisor At the first stage, only: API "Tour Search" After receiving data from the client, the backend should call the Tourvisor API and get real offers. The architecture should allow for subsequent connection: API "Hot Tours"; API "Hotel Descriptions"; without significant reworking of the project.Logic of operation The AI must independently conduct the dialogue. For example: Client: I want to go to Turkey The AI clarifies: departure city; dates; number of adults; number of children; ages of children; budget; wishes. After receiving the necessary data, the backend makes a request to the Tourvisor API. The results obtained are passed to GPT to form a nice response to the client.Important requirements The AI must not: make up prices; make up availability; make up tours. Use only information obtained from the Tourvisor API.Function Calling (Tools) is desirable It is necessary to implement separate functions: searchTours() In the future, the following will be added: searchHotTours() getHotelInfo()Admin panel A simple web panel is needed where you can: change the system prompt; upload/change the knowledge base; view conversation history; view logs and errors.Technologies Python FastAPI (preferably) Docker PostgreSQL Swagger/OpenAPIWhat should be delivered upon completion source code of the project; installation instructions; Docker configuration; API documentation; assistance with the first launch.Will be an advantage experience with OpenAI API; experience integrating with Tourvisor API; experience creating AI assistants for WhatsApp, Telegram, or other messengers.Additional wish The project should be written modularly so that in the future it can be connected without reworking: WhatsApp (Talk Me or another service); Telegram; Instagram Direct; company website. Important: provide for the possibility of connecting the API "Hot Tours" and "Hotel Descriptions" in the future without changing the main logic of the application.

Need an experienced Python developer to create an automation program for working with the website. What the bot should do: Log in to my account on the website. Continuously (24/7) monitor for new Work Orders. Upon the appearance of a new order, open its card. Analyze the information about the order (type of work, city, distance, description). Automatically accept orders that meet the specified conditions. If the order does not meet the conditions, skip it. Send notifications in Telegram about accepted and skipped orders. Requirements: Python. Playwright (preferred) or Selenium. Work through a regular browser. Transfer the complete source code after the project is completed. Provide installation and launch instructions. Mandatory experience in developing similar automation systems. When responding, please send examples of similar projects.

A project needs to be implemented for collecting and structuring a large array of images from open web sources (initially 2000 images). The task includes: - automated image collection; - uploading files in the highest available quality; - classifying images by categories. Expected results: - a structured image database; - a clear cataloging system; - delivery of the results via Google Drive or another agreed method;