Budget: 3000 UAH Deadline: 2 days
Hello. I am ready to deploy your project. Besides the backend, what else is there? Database?
There is a script on python api on flask. It needs to be uploaded to heroku and configured to work. I ran the script on my local pc and everything works. I need you to show me how I can later make changes to the script so that they apply on the server, through GitHub or something. Here are the dependencies that are used:
blinker==1.9.0
click==8.1.8
cmake==4.0.0
colorama==0.4.6
dlib @ dlib-19.22.1-cp39-cp39-win_amd64.whl
face-recognition==1.3.0
face-recognition-models==0.3.0
flask==3.1.0
gunicorn
importlib-metadata==8.6.1
itsdangerous==2.2.0
jinja2==3.1.6
MarkupSafe==3.0.2
numpy==1.20.2
opencv-python==4.11.0.86
pillow==11.1.0
werkzeug==3.1.3
zipp==3.21.0
Budget: 3000 UAH Deadline: 2 days
Hello. I am ready to deploy your project. Besides the backend, what else is there? Database?
Budget: 2000 UAH Deadline: 1 day
You also don't think it would be more appropriate to use VPS hosting for such a script, as they would be significantly better for use than Heroku. Because as I guess from the modules, you are working with face recognition, probably, or something like that.
I wrote down the possible issues.
dlib + face-recognition
Critical: Heroku does not support the installation of dlib from source code without a custom buildpack or container.
These libraries require CMake, Boost, a C++ compiler, as well as access to the system's OpenCV libraries.
Solution:
Use Heroku with a Docker container, where you will build the image with all dependencies yourself.
Or switch to a VPS/server with full system access.
opencv-python
May not work or work with limitations (especially functions that use access to the camera — Heroku does not have direct hardware access).
Solution: only offline image processing, and even then in Docker.
cmake
Needed only for compiling dlib, but Heroku does not allow installing system packages directly, so it won't work without Docker.
Write to me, I need to discuss the issue. The price may vary depending on the complexity of the solution and needs.
Budget: 1000 UAH Deadline: 1 day
Good afternoon, I am ready to help with the deployment on the server, I would like to know more details in private messages.
Budget: 1000 UAH Deadline: 1 day
Hello Nikita.
I have done similar work many times before. I have over 6 years of experience in development.
I am ready to offer a good price as I am just starting to develop my account and need ratings and reviews.
I will be happy to help you.
I am ready to answer all your questions.
Sincerely,
Georgiy
Senior Python Developer
Budget: 1500 UAH Deadline: 2 days
Good day. Write, I will do everything.
------------------------------------------
Budget: 700 UAH Deadline: 1 day
There is an option to deploy not on Heroku, but also to set up automatic deployment. Write to me.
Budget: 2000 UAH Deadline: 3 days
Hello! Your project has sparked great interest in me. I am ready to start working immediately and ensure high-quality execution.
As part of enhancing the cybersecurity level of our infrastructure, we need to abandon the practice of storing "eternal" and static API keys, passwords, and integration tokens in the configuration files (.env, appsettings.json, config.yaml) of our microservices. Business Goal: Create a single secure storage point for confidential data (secrets) with a mechanism for their automatic updating (rotation) in external systems on a schedule. Our other services will request current tokens "on the fly" via API, which will minimize damage in case of compromise of any system component.Security Model and Encryption (Crypto Core) No secret should be stored in plaintext in the database. Upon application startup, a Master Key is passed to the environment variables. If the key is missing or has an invalid length, the service should fail at the initialization stage with a clear error in the logs. Each secret is encrypted before being written to the database using this Master Key. Upon request, it is decrypted in memory and returned in the response body.Audit Logging (Audit Trail) Any action with secrets (creation, reading by the service, successful or unsuccessful rotation) must be recorded in a separate log file audit.log (or a separate table in the database). Strict Taboo: It is strictly prohibited to record the actual values of secrets in the audit log (neither in plaintext nor in encrypted form).
Need a specialist for writing parsers who can bypass CLOUDFRAME. Parsing of products occurs from sites with authorization. There are 10+ donors of varying complexity, with different levels of protection. Parsing of products occurs from sites with authorization. Parses data into a ready-made Mysql database + photographs on the server. It is necessary to write a parser according to the tasks described in the technical assignment and adapt the data to the existing database for full functionality on the site. Technical assignment and example donor upon request. Desktop parsers and C# are not considered.
Bot for mirroring positions on Binance Futures (Python) A bot is needed that reads my positions on Hyperliquid (public API) and Bitget Futures (my read-only key) and proportionally replicates them on my Binance USDT-M Futures via API. Logic: opening, increasing, partial closing, full closing — everything is mirrored with a customizable size ratio. Polling every 5–10 seconds. Correct handling of partial closures and averaging is mandatory. Requirements: notifications in Telegram about trades and errors; config (pairs, ratio, limits); deployment on my VPS + instructions; source code is transferred to me. I will enter the keys myself. Stages: 1) Hyperliquid→Binance, test with small amounts; 2) Bitget→Binance. Payment through safe in stages. In your response, indicate your experience with exchange APIs and how you will handle a partial closure of 30% of the position by the leader.
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.