Budget: 9000 UAH Deadline: 1 day
Please contact us, price after details
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Budget: 8000 UAH Deadline: 5 days
Hello
I think your order is very attractive, and I want to offer my services as an experienced programmer.
I will be glad to discuss the details of your project and get started.
Aleksandr Taruta
Winning proposal- Projects 9
- Rating 5.0
- Rating 531
Budget: 8000 UAH Deadline: 21 days
Good day, I can do
stack: node.js + express + DB + docker
I will describe Swagger if needed
For testing, I will deploy on a test server.
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- Projects 8
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- Rating 468
Budget: 8000 UAH Deadline: 2 days
Good afternoon, I suggest nestjs + postgresql via typeorm or nestjs + mongo via mongoose, the timeline depends on the number of tables/collections and endpoints, I work at a rate of 20 EUR per hour, if there are 1-2 tables, the budget can be around 8000, but I need more information about the structure or what you plan to store.
Budget: 11111 UAH Deadline: 1 day
Good day, I have experience working with puppeteer
I am ready to take on your project
Budget: 16000 UAH Deadline: 1 day
Good afternoon,
I am ready to take on your project to develop the backend for the auto auction parser. I have experience in building and optimizing large databases, creating necessary endpoints, and efficient data parsing. I will consider your previous work and set up the database structure for optimal performance.
My rate is $16 per hour.
Budget: 8000 UAH Deadline: 10 days
Hello! I have worked on similar tasks — from parser architecture to building a scalable backend system with an optimized database for large volumes (including auto auctions and aggregators). I understand how to properly design the structure so that it doesn't slow down as data grows, and how to build fast parsing while maintaining data cleanliness and completeness.
I will create a REST API with the necessary endpoints, ensure stable operation, and enable scalability. If you have any existing developments — I will adapt them to the final structure. Please specify how many sources and which fields are critical — I will estimate more accurately in terms of timeline and cost.
Budget: 8000 UAH Deadline: 1 day
Good afternoon
ready to develop the backend for the parser
write the details, let's discuss
Budget: 8000 UAH Deadline: 1 day
Hello. I have extensive experience with Node.js. Ready to collaborate
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About the Company Trading company. We work with a product group of more than 2000 items across different categories.Current Situation Currently, the nomenclature is maintained in Google Sheets — data is consolidated by tabs (categories). Tab Structure: Product name Price groups: cost price, wholesale, retail Characteristics: weight, quantity per package, etc. Important: the number of columns varies for different product categories, as they have different characteristics.Why the Current Solution is Inadequate Google Sheets does not allow setting access rights at the level of individual columns. We need to: Grant users rights to view certain columns (for example, only cost prices) Grant rights to edit certain columns (for example, retail prices) While restricting access to other columns in the same tabWhat Needs to Be DoneMain Requirements Flexible Rights Management System Access at the level of individual columns (read/write) Assignment of rights by roles or users Management of rights without the involvement of programmers Support for Different Data Structures Different product categories have different sets of characteristics Adding new columns/characteristics without programming Independence from Developers Administration by internal staff Adding categories, columns, users — through the interface Integration with ERP Exporting current prices to our ERP system Export or automatic integration via API Data Analysis Using AI (preferably) Ability to analyze the entire nomenclature list Enrichment, verification, recommendations — if you have ideas, please describeExpected Result A working solution in which: The nomenclature is structured by categories with different sets of characteristics Column rights are flexibly configured (view/edit) Data is exported to ERP The team can manage the system independentlyWhat We Need from You When Responding Describe in general terms how you envision the solution: What tool/platform do you propose
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.
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