• Projects -
  • Rating -
  • Rating 446

Budget: 670 USD Deadline: 14 days

Good day. Automation of mailings with AI that conducts initial correspondence on its own is exactly my topic; I have gathered similar connections in Python (collecting contacts + GPT responds until there is genuine interest). One question in essence: are the applications coming through email/forms on websites or through specific platforms like Instagram DM and casting services? This will determine where the main bottleneck with limits and anti-spam will be. I will draft a scheme once we decide on the channels.

  • Projects 132
  • Rating 5.0
  • Rating 14 715

Budget: 2000 USD Deadline: 30 days

Hello, Ksenia.

I am currently developing a similar project for outreach and can adapt it to your specifications.

  • Projects 5
  • Rating 5.0
  • Rating 673

Budget: 670 USD Deadline: 7 days

Hello, I worked on AI Talent Scout — the system automatically found job vacancies and sent personalized applications for 200+ creators, reducing search time by 85%.

I’m curious to know: how do you plan to address bypassing spam filters during mass email distribution, as this is critical for application delivery?

I suggest we get in touch; I will provide you with free technical consultation and we can outline a development plan + I will tell you about my team!

  • Projects 16
  • Rating 4.3
  • Rating 2 221

Budget: 670 USD Deadline: 19 days

Good day. I have carefully reviewed the task. This is not just a Telegram bot for text generation, but a full-fledged automation system for searching, submitting applications, processing responses, and managing CRM.

For the MVP, I propose to divide the system into separate modules:

— Telegram bot for registration, profile management, and receiving notifications;
— secure storage for portfolio, CV, photos, videos, and contact information;
— job and contact database with filtering by field, country, and requirements;
— AI module for job analysis, candidate matching, and email personalization;
— email sending service with attachments, frequency limitations, and delivery logs;
— receiving incoming emails via Gmail API or a separate mailbox;

  • Projects 3
  • Rating -
  • Rating 561

Budget: 1800 USD Deadline: 21 days

Hello! The AI Talent Assistant project is a great and commercially promising idea. Automating outreach, personalizing emails through LLM, and aggregating responses into a single inbox is a strong case.

For the MVP implementation, I propose a quick and fault-tolerant stack: Python (FastAPI + aiogram 3.x), PostgreSQL + Redis, as well as the Anthropic API (Claude 3.5) for email analysis.

Why my architecture will perfectly address the MVP tasks:

* Email tracking: We will integrate email APIs (Resend / Mailgun) and set up inbound webhook processing to instantly catch brand responses and relay them to the bot.
* Intelligent AI agent: Through Tool Calling, Claude will receive profile data and job description text, adapt the tone, highlight relevant cases, and form the pitch.
* Interface in Telegram: The bot will support text commands, and for a convenient CRM dashboard and media kit upload, we will embed a beautiful Telegram Mini App on Next.js.
* Automatic Follow-ups: The system will track the application status and automatically send a follow-up email after 5–7 days if the brand has not responded.

  • Projects 8
  • Rating 5.0
  • Rating 879

Budget: 700 USD Deadline: 15 days

Hello!

Interesting task, I have experience in implementing similar ones, for example:
1. Creating an automatic workflow between a custom CRM website, email, and delivery services.
2. A Telegram bot for analyzing news based on certain metrics.

I suggest we discuss the details (one of which is - it is very important to choose the right LLM for analyzing the appropriate proposal and to create detailed instructions for each case and how to act in non-standard situations, etc.).

Feel free to reach out, I would be happy to collaborate!)

  • Projects 15
  • Rating 5.0
  • Rating 3 857

Budget: 670 USD Deadline: 7 days

Hello.

I am doing something similar, but for my niche.
Portfolio like RAG, AI-generated CVs, cover letters, mailings. A full-fledged multi-agent pipeline in general.
By the way, I have experience in email mailings and setting up smtp, pop3, imap for a marketing campaign.
I can build an MVP as you described in your specifications, especially since everything is explained more than clearly.

I also have experience with Telegram bots - no problem.

Tell me, do you consider contact collection as a full-fledged separate service that will act like a robot to go through your sources, or just as an upload from a table (any other format)? In the same marketing campaign, I did a database crawl of domain names in the CIS, so I have experience in this area as well, if something serious is needed.

  • Projects -
  • Rating -
  • Rating 400

Budget: 1000 USD Deadline: 10 days

Hi Kseniia,
I'm Hiroshi Funaoka, a developer based in Japan who builds AI powered backend systems and bots.
A creator's assistant sends fifty personalized applications overnight, and by morning half of them are sitting unread in spam folders, because the emails went out from a fresh domain with no authentication and no sending pattern a mail provider would trust, so the AI wrote a great letter that nobody ever saw.
I understand the real product here is not the writing itself, it is a reliable pipeline that gets a human's portfolio in front of a real person and keeps the conversation moving without the creator checking dozens of inboxes.
What I would build for the MVP is the Telegram bot as the main interface, a one time profile intake, a contact database in Postgres tracking every application through its status from sent to interview to rejection, AI generated and personalized letters through an LLM, automatic sending, and AI classification of incoming replies so standard questions get answered and anything real gets flagged to the user.
There is a point worth deciding before the first email goes out.
Deliverability is the real bottleneck, not writing quality, so proper sender authentication, a warm up period for a new sending domain, and a sending rate that respects each platform's own limits all need to be built in from day one, or the AI will keep writing excellent letters that land in spam and the user will think the assistant is failing when the real cause is infrastructure.
Finding vacancies, emails and submission forms across many different sites also means each source needs its own scraping logic rather than one generic crawler, so I would start with two or three of your highest priority directions for the MVP and expand from there.
I build with Claude, Gemini and OpenAI APIs in production, including Telegram and WhatsApp bot integrations and workflow automation with n8n and Make.
I hope we can talk here about the details of the project, and one question would help scope the MVP tightly.

  • Projects 74
  • Rating -
  • Rating 2 112

Budget: 3000 USD Deadline: 30 days

Hello! I have extensive experience in full-stack development and creating autonomous AI agents using modern LLM APIs, so I can easily implement this project. I suggest starting with a reliable MVP based on Telegram to quickly test the key mechanics of automated messaging and incoming message analysis. This will allow your clients to immediately gain practical benefits even before we smoothly scale the architecture to support multiple platforms, complex data parsing, and a full-fledged CRM system. I am ready to discuss the technical details and help bring this assistant to life.

  • Projects 11
  • Rating 5.0
  • Rating 3 436

Budget: 5000 USD Deadline: 40 days

Good day!
Ready to create an MVP Telegram bot + AI logic + parsing.

Our vision for the MVP in 1.5–2 months:
Stack - Python (FastAPI) + OpenAI API + Telegram Bot API + PostgreSQL.
AI brain - We will set up the context for each creator. The AI will adapt emails to job postings, analyze responses, and send standard follow-ups.
Parsing and Email - We will implement the collection of incoming emails via IMAP/SMTP into a single database and integration with the bot.

MVP budget $4,500 – $6,000 (development + testing). Payment will be phased.

  • Projects 29
  • Rating 5.0
  • Rating 6 476

Budget: 670 USD Deadline: 14 days

A mobile AI assistant is needed that independently searches for job vacancies, sends personalized applications, and conducts correspondence on behalf of creators and models.

Architecture: React Native (iOS + Android from a single codebase) + Node.js backend. User profiles and media materials are stored once. The AI layer on GPT-4o: analyzes the job vacancy, generates a letter for a specific brand, determines the tone. Auto-search through web scraping + email finder (Hunter.io / Apollo). Sending via SMTP with a single inbox for collecting responses. CRM statuses and dashboard in the personal account.

Key risk: mass mailing through one domain quickly ends up in spam. Solution — rotation of sending domains and warming up inboxes from day one.

How many users are planned at the start, and is an MVP needed only for iOS or immediately cross-platform?

  • Projects -
  • Rating -
  • Rating 327

Budget: 670 USD Deadline: 20 days

Ksenia, you need automation of routine client searches so that instead of mass mailings, you can focus on creativity. The essence of the task is to create an agent that personalizes outreach and maintains dialogue until a real request for collaboration arises. To implement such a scenario, I will focus on integrating APIs with existing job databases and setting up logic that excludes template responses. What specific sources of contacts or platforms do you plan to connect first for testing the mailing mechanics?

  • Projects 28
  • Rating 5.0
  • Rating 9 280

Budget: 670 USD Deadline: 21 days

Hello! The project is interesting; I am ready to develop an MVP AI assistant with a Telegram bot, a profile database, email generation and sending, processing incoming responses, and AI analysis of correspondence. A well-thought-out foundation will allow for easy addition of CRM, new communication channels, and automation of job search in the future. I suggest we discuss the details of the MVP, after which I will be able to assess the timeline and cost.

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