LangChain Automate

Job Seekers: Individuals looking for a streamlined way to extract and format their resume information.
Recruiters: Professionals who need to quickly gather and analyze candidate information from resumes.
Developers: Those interested in automating resume processing and integrating it with messaging platforms like Telegram.
HR Departments: Organizations aiming to simplify the resume submission and review process through automation.
Students: Individuals entering the job market who need to create professional resumes efficiently.

This workflow addresses the challenges of resume extraction and formatting by automating the process of:

Collecting resume files from users via Telegram.
Extracting text from PDF resumes.
Parsing and structuring the extracted data into a unified format.
Converting the structured data into a professional HTML and PDF format for easy sharing. This automation reduces manual effort, minimizes errors, and saves time in the recruitment process.

Trigger: The workflow starts when a user sends a message to a Telegram bot.
Authentication: The bot checks if the user is authorized to use the service based on their chat ID.
File Retrieval: If authorized, the bot retrieves the resume file sent by the user.
Text Extraction: The workflow extracts text from the uploaded PDF resume.
Data Parsing: The extracted text is parsed to identify key sections such as personal info, education, employment history, projects, and volunteering.
HTML Conversion: Each section is converted into HTML format for better presentation.
Merge Data: The workflow merges all sections into a single structured output.
Base64 Encoding: The final output is encoded into a base64 string for file conversion.
HTML File Creation: The base64 string is converted into an HTML file.
PDF Generation: The HTML file is sent to a PDF conversion service to generate a PDF document.
Send PDF: Finally, the generated PDF is sent back to the user via Telegram.