Creation of a Telegram bot for news monitoring with AI filtering

Budget: 5500 UAH Deadline: 2 days

Good afternoon, I have extensive experience in developing similar bots, there are a few points I would like to clarify in private.

Budget: 2000 UAH Deadline: 7 days

Hello, I worked on a Telegram bot for automatic collection and analysis of news from 15+ sources with AI filtering for a media company - the system processed over 2000 publications daily and reduced information noise by 85%.

I’m curious about which specific topics you plan to track and how often you need updates - every minute or at certain intervals?

My experience with similar solutions:
• Development of bots for monitoring social media and news websites
• Integration with OpenAI API for content relevance analysis
• Deduplication systems and ranking news by importance
• Parsing Telegram channels, Facebook, and RSS feeds

Technical stack: Python, aiogram, BeautifulSoup, OpenAI API, PostgreSQL for storing and comparing news.

Using paid AI APIs will be necessary for quality filtering - I recommend OpenAI GPT-4 for the best relevance analysis results.

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

Budget: 1111 UAH Deadline: 1 day

Hello! I am engaged in the development of Telegram bots and automation using Python. Additionally, I can add an AI-generated brief summary and an assessment of the news importance. For AI, I usually use an API — this provides a proper relevance check and less noise. If a version without ongoing API costs is needed — we can discuss that as well. I will be able to provide more precise information on timelines and costs after receiving the list of sources and the number of topics to track.

Budget: 25000 UAH Deadline: 15 days

Oleksandr, I can create a bot that will gather news from Telegram, Facebook, and websites, filter out noise through AI, and consolidate duplicates into a single message. I add relevance based on content, not just keywords, and if needed, a brief AI summary and importance rating. I have experience with Telegram bots, social media automation, and API integration. For AI filtering, a paid API will likely be required. I can propose the architecture, timelines, and implementation stages.

Budget: 1000 UAH Deadline: 3 days

Good day! We can help with the development of a Telegram bot for AI monitoring of news from Telegram channels, Facebook, and news websites. The task is clear: we need not just a keyword search, but a system that filters out informational noise and sends only relevant news. We can implement:
— monitoring of specified Telegram channels, Facebook pages/groups, and websites
— keyword search considering word forms and contextually similar mentions
— AI relevance checking of publications
— merging duplicates from different sources
— Telegram notifications with a title, link, and list of sources
— a brief AI summary of the news
— importance assessment: high / medium / low
— configuration of sources and topics for monitoring
Technically, this can be implemented through parsing/API of sources + NLP/AI relevance + deduplication + Telegram Bot API. We are ready to discuss the list of sources, monitoring topics, frequency of checks, and notification format.

Budget: 12000 UAH Deadline: 3 days

Hello! The task completely matches my profile: I develop asynchronous Python systems, AI bots, and data parsers.

I propose to implement a stable MVP solution in 3 days:
1. Data collection: Asynchronous monitoring of websites and Telegram channels.
2. AI filtering: Integration with OpenAI API or Gemini API for semantic analysis, summarization, and importance assessment (API costs will be linked to your account, I will help set limits. Although there is an option to connect free AI).
3. Deduplication logic: Grouping similar news topics so you receive one concise notification with links to all sources.

I am ready to discuss the architecture details and start the project today.

Budget: 5000 UAH Deadline: 7 days

Get a tool that filters out noise: the bot monitors Telegram channels, Facebook, and news sites, runs posts through an LLM, and sends only truly relevant ones — with deduplication and links to all sources.

I built a similar pipeline: parsing several platforms, AI filtering for relevance, deduplication based on semantic similarity, Telegram notifications with source aggregation. The technique matches your request exactly.

Stack: aiogram, asyncio, FastAPI, PostgreSQL, Claude or OpenAI for filtering and summarization. Paid AI APIs are necessary — without them, smart filtering is impossible, but I optimize costs through caching and batching requests. Deployment via Docker on a Linux server from scratch.

We will finalize the total cost after clarifying the details: number of sources, polling frequency, whether summaries and importance ratings are needed — this affects the volume.

Write to me — we will discuss the details and draft a specific plan.

Budget: 7000 UAH Deadline: 7 days

Good day!

I am ready to implement a Telegram bot for monitoring news from Telegram channels, Facebook pages/groups, and news websites with subsequent filtering through AI.

I have experience in developing Telegram bots in Python, integrating with external APIs, parsing data from various sources, as well as working with AI services for content analysis and classification. I will implement a system that will automatically track new publications, search for relevant news not only by keywords but also considering context, word forms, and semantic matching.

I can also implement the merging of duplicate news from different sources to eliminate repeated notifications. In the message, the bot will send the headline, a link to the original source, and a list of additional sources where the news was found. Additionally, it is possible to add an AI summary of the news and an automatic assessment of its importance.

For implementing AI filtering, I recommend using LLM API (OpenAI, Gemini, or Claude). This will significantly improve the quality of selection and reduce the amount of information noise. If necessary, we can find the optimal option in terms of cost.

Estimated implementation time: 7–14 days depending on the number of sources and analytics requirements. I will be able to provide the exact cost and timeline after clarifying the list of sources and expected load.

I would be happy to discuss the project details and propose the optimal architecture for the solution. Expand

Budget: 5000 UAH Deadline: 10 days

Hello! I have experience creating Telegram bots for monitoring with AI filtering, including duplicate handling and relevance. I am ready to create a smart parser and integrate AI for news analysis. What is the expected volume of sources initially, in order to assess the load and timelines?