Automation of a bot for social networks

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A simple program or Telegram bot is required for parsing participants of chats and discussions in Telegram channels. Functionality: The user enters a link to the channel or chat. If a link to a channel is provided, the program should automatically navigate to the "Discussions" section and perform parsing specifically for discussion participants. The result should export only unique links to user profiles without duplicates. Additional selection requirements: Only users with their own public channel specified in their profile should be included. The user's channel must have at least 200 subscribers. Users with smaller channels are not suitable. A maximally simple and convenient tool is needed: just paste the link and start collecting data based on the specified criteria. I am not a programmer, so I would appreciate an assessment of the feasibility of such a solution and your suggestions for the optimal way to develop it. Standard parsers are not of interest to us — the implementation of the logic described above is required. Responses to your proposals may be within a day.

A small project needs to be implemented for selling digital and physical products. What needs to be done: Develop a simple modern landing page for selling 3 products: PDF version; physical kit; paid Telegram subscription. Connect payment through WayForPay. Integrate orders with KeyCRM: transfer of customer data; creation of orders in KeyCRM; possibility of further automation. Develop a Telegram bot for managing subscriptions: automatic access issuance after payment; subscription activity check; subscription renewal; automatic access removal after payment completion; user administration through a simple panel or bot commands. It would be a plus: experience with WayForPay; experience integrating with KeyCRM; experience creating Telegram bots and paid subscriptions. Please specify immediately: exact cost; implementation timeline; examples of similar projects.

We need a chatbot with AI in Telegram for a webcam studio. The only task of the bot is to find suitable information in the studio's knowledge base and pass it to the models. It should not give its own advice or recommendations. If there is no suitable information in the knowledge base, it should direct the model to its curator. We have already assembled a bot on the suvvy.ai platform, and it generally works correctly. However, since we dealt with everything ourselves without specialists in this area, there are questions. We are currently looking for a specialist who could provide consultation/audit on this topic. The questions are approximately as follows: 1. We need a specialist to look at our settings and tell us if the cost of the bot's work is normal for us, or if it can be optimized (on this or another platform) to make the response prices lower? 2. How should we properly format the knowledge base for the bot? On Savvy, there is an option to add entries in the "question-answer" format or upload entire documents. It is important for us to clearly understand what information to upload in what format to the knowledge base so that the bot works as efficiently as possible, while also maintaining optimal response prices. There are also some minor clarifying questions about various functions, but these 2 are the most fundamental and essential) We are eagerly awaiting proposals regarding the cost and format of the consultation

We are a large logistics company with our own exports. We have a large fleet of vehicles and we constantly send our own vehicles for export to European countries.Description Website: https://echerha.gov.ua/ On this website, we place our vehicles in an electronic queue for crossing the state border. During registration, the following data must be entered: driver's first and last name; foreign passport number; email address; logistics phone number for notifications; type of vehicle (cargo); manufacturer's name of the vehicle; state registration number of the tractor; state registration number of the trailer; customs declaration number. A specific day and time for crossing the border is predetermined for each vehicle. For example, the vehicle must pass through the "Rava-Ruska" checkpoint on Monday at 10:00.Our Problem - The queue on the website https://echerha.gov.ua/ moves unpredictably. - For example, today is Friday, and the vehicle must cross the border on Monday at 10:00. - We do not know exactly when the queue will start moving. This can happen on Friday evening, at any time on Saturday or Sunday, early in the morning, during the day, or late at night. - When the queue starts moving, it is immediately visible on the website. Sometimes, within just a few minutes, it can move from Friday to Monday or even to Tuesday. - Because of this, logistics personnel are forced to constantly monitor the mobile application or website to not miss the moment when the queue reaches the required date and time. If this moment is missed, we physically cannot place the vehicle in the queue for the needed time slot.Task - After entering the vehicle data (for example, into a table or another interface, depending on the programmer's implementation), the system should automatically track the movement of the queue. - When the queue reaches the predetermined date and time, the system should automatically fill in the necessary data and place the vehicle in the queue without the involvement of the logistics personnel.