Telegram AI Response Bot

@SBITServices

Hi, I have over 5+ years of experience in both frontend and backend development. I will do the specified tasks. Key Areas of Expertise: a) Full-Stack Development: Proficient in both frontend and backend technologies Frontend: Next, Js, ReactJS, Bootstrap, JavaScript, jQuery Backend: Laravel, CodeIgniter, Node.js b) API Integration: Experienced in integrating and working with APIs to enhance application functionality. c) Microservices: Skilled in developing and integrating microservices for scalable and efficient solutions. d) Database Management: Competent in managing databases with Postgresql, MySQL, MongoDB, and Oracle. d) Server Handling: Adept at handling server environments such as AWS, Google Cloud, VPS, Apache, and Nginx. Let’s discuss how I can help achieve your project goals and add value.

@Herculesz

Hi, a Telegram AI response bot is usually straightforward at the surface, but the real work is in message orchestration and state management once conversations become asynchronous and multi-step. I’ve built production AI interaction systems where the main risk is not text generation itself, but keeping routing, context, and response behavior reliable under live user traffic. The closest match here is TikTok AI Livestream Setup, where I wired a real-time AI response pipeline across multiple moving parts with low-latency behavior. Custom Feature Development & Integration is also relevant because this kind of job often requires stepping into an existing codebase and tightening the application and database boundaries. I usually structure systems like this by separating inbound event handling, conversation state, and response generation so failures in one layer do not corrupt the full bot flow. Since you mentioned PostgreSQL, I’d treat persistence as a first-class part of the design rather than an afterthought. For reliability, I typically add conversation guards, confidence thresholds, fallback behavior, and clear logging around message classification and reply generation. These are the systems I design for long-term production use, not just a demo bot that works on happy-path inputs. If useful, I can sketch the agent flow and state model for the Telegram message lifecycle before implementation. Thanks, Hercules

@steveng96

Hello, I am available now. I have read your project description carefully and I understand what you want. 300% Confidence!!! I have 7+ years of experience in PostgreSQL, AI Chatbot Development, PHP. I have completed similar projects. Please contact me. Best regards, Steven

@zeeshanmcp12

I've reviewed "Telegram AI Response Bot". Building AI agents and automation systems that work reliably in production not just demos is my core focus. I see exactly what you're trying to solve here. I'll design the solution using the right stack for your use case which could be OpenAI, Claude, RAG, n8n, or MCP servers that will be deployed and monitored for real traffic. Built to handle real users, not just a prototype that breaks under load.

@YuriiVusochin

Hello, I have reviewed your details and I know how to meet your needs. I am an experienced freelancer with 4+ years of experience in AI Chatbot Development, PHP, PostgreSQL, Software Architecture. Browse my profile to see portfolio and reviews. Please connect in chat so we can discuss. Thanks, Yurii

@abhiramukk

Hi, This is AB from United Kingdom. I've built similar AI-powered bots that interface with internal databases for instant responses. The flow you described aligns with my expertise in integrating AI modules like OpenAI for real-time query processing. I understand the importance of seamless automation without manual intervention, ensuring quick and accurate responses. One consideration is optimizing the database queries for efficiency to meet the 3-second response time requirement consistently. This involves fine-tuning the AI's intent recognition and query execution process. Would the provided sample questions cover a range of query types to ensure comprehensive testing of the bot's capabilities? Looking forward to discussing this further and exploring how we can achieve your goal of fully automated responses within Make.com.

@davidl298

Hello, I'm david, a seasoned professional with 10 years of experience in PHP, AI Chatbot Development, and AI Development. I have thoroughly reviewed your project requirements for the Telegram AI Response Bot and am confident in my ability to deliver a seamless solution. With my expertise in AI development and web development, I will ensure that the bot efficiently listens to incoming messages, processes them through an AI module, retrieves information from your internal PostgreSQL database, and provides instant responses without manual intervention. I am eager to discuss the project further and address any specific details or queries you may have. Please feel free to connect with me in the chat to explore how we can proceed with this exciting project. Thanks, david

@davids0172

Hello, The main risk is latency and incorrect SQL intent mapping when converting natural language into precise PostgreSQL queries under Telegram conversational constraints. To meet the 3 seconds average response and the requirement that data comes from our internal PostgreSQL only, I design intent-to-SQL templates plus a lightweight intent classifier so the AI focuses on mapping intent and filling parameterized SQL rather than inventing queries at runtime. I have built similar systems that connect chat channels to internal databases and AI models: conversational FAQ bots that parse user intent, validate parameters, run parameterized DB queries, and return formatted answers. I will reuse patterns I implemented previously for intent templates, role-restricted DB users, and prepared statements to prevent injection and reduce runtime planning. I will deliver a JSON blueprint of the Telegram → AI → Database → Telegram reply chain, the secure DB connection steps and SQL, and a short README explaining settings and how to add new intents or tables. I will start by creating a compact intent schema and parameterized SQL templates, then wire Telegram webhooks to an AI module that classifies intent and fills the template. This keeps execution deterministic and fast while ensuring all data is pulled from PostgreSQL only and everything runs inside ; no separate server maintenance. - Do you have an existing DB user and connection string I can use for testing, or should I provide SQL to create a read-only user and sample tables? - Can you share 10 sample questions now so I can map intents and estimate average query complexity and response time? Happy to connect for a short call to walk through the approach. David smith

@yeakubhasan

interested

@mscon2000

Hello, I am a professional developer with experience in AI chatbots, Telegram bots, automation systems, and database integration. I can build a smart Telegram response bot integrated with AI services and PostgreSQL database functionality with clean structure and reliable performance. What I will provide: • Telegram bot development • AI-powered response system • PostgreSQL database integration • Clean and optimized code • Fast and reliable performance • Secure and scalable structure • Revisions until satisfaction I focus on delivering professional and high-quality solutions with attention to detail and modern development standards. I am ready to start immediately. Thank you.

@SoumyaRoy05

Being worked for multiple clients on multiple ai agents and training multiple models, i more than capable for making a telegram bot

@thaakirh8

This project perfectly matches my expertise and your vision for a seamless, polished user experience that integrates social networking with real-time audio streaming. I bring extensive industry experience building scalable, high-performance platforms designed for smooth interaction and reliable operation. Though new to Freelancer, my proven track record spans similar sophisticated projects off-platform—please review my portfolio for examples. I’m confident in delivering a solution that exceeds your expectations and would welcome a free consultation to discuss your goals in detail. Looking forward to collaborating and bringing your vision to life!