AI Utilities & Chatbots Development

@ykarora26

With experience in creating AI-driven utilities and conversational agents, I understand your need for customer-support and sales & marketing chatbots, along with a task-automation agent for your website and future mobile app. My expertise lies in developing chatbots using frameworks like Rasa and integrating them seamlessly with websites. Could you provide more details on the specific functionalities and user flows you envision for each chatbot to ensure a tailored solution that meets your requirements effectively? Regards, Yogesh Kumar

@adriank06

I can build your AI utility suite as a modular, API-first system: customer support RAG from your docs, sales bot with lead capture/email triggers, and task automation agent for scheduled/event jobs. All exposed via REST for web and future mobile. I’ll deliver local + staging prototypes, Docker/setup scripts, SDK snippets, and a handoff walkthrough with clean, documented code. Quick question: do you have a preferred LLM provider (OpenAI, Anthropic, local) and documentation source (PDFs, website, Notion)? This drives the RAG pipeline design. I have 5 years in software development and 2+ years in AI (RAG, LangChain, FastAPI, Docker). I can start immediately and keep the utilities lean and reliable.

@Ritesh11gupta

Running these AI utilities locally is a great approach for speed and privacy. I build custom Python chatbots and API tools all the time. What specific base models are you planning to use for this suite?

@GobindSawarn

With my 6 years of experience in website and mobile design, I can bring creativity, functionality, and aesthetics to your conversational agents. I have hands-on proficiency in Docker and other frameworks you've mentioned (LangChain, Rasa, Dialogflow, Python/Node stacks) — ensuring I deliver prototypes that run smoothly both locally and on your staging URL. I understand the importance of reusability and easy maintenance and will emphasize these aspects while developing companion hooks for your future mobile app. My skills in integrating chatbots with web front-ends and mobile apps will be pivotal in providing you with web and mobile SDK snippets or REST endpoints needed to embed the bots.

@vascubrian

Hi I can build a lean AI agent suite for your website and local environment, including a customer-support chatbot, sales/lead-generation chatbot, and task-automation agent. I’ll use a reliable Python/Node.js AI stack with RAG and reusable REST APIs, allowing easy integration with your website and future mobile app. The solution will support documentation-based answers, lead collection, campaign triggers, scheduled tasks, notifications, and escalation workflows. I’ll deliver local and staging deployments, clean documented code, Docker/setup instructions, API integration examples, and a walkthrough so you can maintain and extend the agents independently.

@indreshpnk

Hello, I understand you need a suite of lightweight AI utilities with customer-support, sales/marketing and task-automation agents that work locally and on your website, with reusable APIs for future mobile integration. Here’s what I can provide: • Documentation-based support chatbot with escalation and contextual responses • Sales chatbot for lead collection, offers and campaign triggers • Event/schedule-driven automation agent with REST APIs and Docker-based deployment I bring over 4+ years of experience in Python, Node.js, REST APIs, Docker and full-stack development, with a strong focus on reliable AI integrations and maintainable backend systems. Just to clarify a few things: Do you already have documentation/knowledge-base content for the support chatbot? Which email, push-notification and website platforms should the agents integrate with? Please come to the chat box to discuss more about your project. Best regards Indresh Kushwaha

@Srashtasoft

Hi, I can build this as three tight, independently-testable agents rather than one monolithic bot — easier for you to extend or swap pieces later. Approach: - Support chatbot: RAG-style retrieval over your existing documentation (LangChain + vector store), with a clear escalation path when it can't confidently answer. I'd go with LangChain over Dialogflow/Rasa here specifically since you want this self-hosted and swappable — not locked into a vendor's flow builder if you later change providers or hosting. - Sales/lead-gen chatbot: guided flows for offers, lead capture, and hooks to trigger your email/push campaigns via webhook. - Task-automation agent: scheduled/event-driven jobs (data entry, report generation, notifications) as a lightweight worker process. - Shared layer: a clean REST API in front of all three, so the same endpoints serve your website now and a mobile app later — no duplicate logic. Delivery in 7 days: - Days 1-2: architecture + local prototypes for all three agents - Days 3-5: staging deployment, REST API layer, integration with your documentation/lead sources - Days 6-7: Docker setup, docs, and our handoff call/walkthrough so you can retrain or extend it yourself Deliverables: working prototypes (local + your staging URL), Dockerized setup with clean docs, REST endpoints + web/mobile SDK snippets, and a short handoff walkthrough. Happy to start with the support chatbot first as a proof of concept before building out the other two, if you'd prefer to validate the approach early. 111 reviews, 4.9 star overall on Freelancer — happy to share examples of chatbot/API work if useful. Best, Srashtasoft

@JoseRCarvas

Hi — I'll build your suite of AI utilities/chatbots for local and online use: LLM-backed tools with clean prompts, an API layer and a simple UI, modular so you can keep adding to it. Tested. I hold a 5.0-star rating here and deliver clean, tested, working code. We can start with a small funded milestone so you see real progress before committing further. Ready to start today — happy to talk through the details. - Ricardo

@DeMit19

=====> Hi there, <===== I'd build your AI utility suite as a lean, reusable API-first system covering customer support, sales/marketing, and task automation, with both local and staging deployment. For support, I’d connect the agent to your existing documentation using RAG so it can answer accurately and escalate when confidence is low. For sales, I’d add guided offers, lead capture, and hooks for email/push workflows. For automation, I’d implement scheduled and event-driven jobs for reporting, notifications, and data tasks. I’d keep the stack simple and maintainable—likely Python/FastAPI or Node, LangChain where useful, Docker, REST APIs, and clean frontend/mobile integration points. Deliverables would include local + staging prototypes, documented source code, Docker/setup scripts, REST/SDK examples for web and future mobile use, and a hand-off walkthrough. Timeline : 3 weeks Question: Do you already have a preferred LLM/provider and documentation source, or should I recommend the most cost-effective stack for the MVP? Best regards, Dejan

@sehrishabid130

Hi! I specialize in exactly this - building agentic AI systems with LangChain/LangGraph, Python, and RESTful APIs, including support/sales chatbots with RAG (pulling answers from your docs) and task-automation agents. Given the scope (3 agents + mobile hooks + Docker + handoff call), I'd suggest starting with a working customer-support chatbot prototype first - deployed with REST endpoints, Docker setup, and clear docs - then extending to the sales bot and automation agent as reusable modules on the same architecture, so nothing gets rebuilt later. I'll deliver a working local + staging prototype, clean documented code, and a short walkthrough call as requested. Happy to discuss scope/budget further once we connect.

@abrarbhaiexpert

Leveraging my extensive background in Python and automation, I’m well-equipped to tackle your AI Utilities & Chatbots Development project. Constructing Selenium-based automation scripts, I was able to significantly reduce manual QA time for web applications. Essentially, this involved leveraging the power of Python to scrape and structure data from dynamic websites just as you need for reporting pipelines. This speaks directly to the heart of your project's core objective - developing intelligent conversational agents. Moreover, I've not only gained mastery over Python but have broadened my horizon by exploring several frameworks including LangChain, Rasa, Dialogflow, etc. Each these can be modified as per the project demands in a way that achieves fast response times and easy maintenance which aligns well with your goals. Creating reusable APIs and clear deployment instructions at every bounce and bend is what I prioritize to ensure greater convenience on your end. Lastly, one aspect I truly bank on is knowledge transfer. After successful completion of the project, I plan on conducting a thorough hand-off call or video walkthrough that confirms your capacity to extend or retrain the models yourself because true utilization of AI comes with independence, doesn’t it? So here I am offering not just a solution but an empowering effort.

@krishnaj64

I’ve reviewed your project requirements and am confident I can deliver a high-performance solution. With deep expertise in AI integration, scalable web architecture, and intuitive app development, I specialize in turning complex visions into seamless digital products. I focus on clean code, modern UI/UX, and scalable infrastructure to ensure your project succeeds long-term. I am ready to start immediately and ensure every detail is executed perfectly. Please open a chat so we can discuss your specific goals and establish a precise timeline for delivery. Looking forward to working together!

@biasmedia

Experienced in AI and chatbot integration, Firebase, REST APIs, web and mobile apps. I can build scalable, reliable AI agents.

@Arigopal15

AI & Full-Stack Developer with 1+ year of professional experience in GenAI, Python, Django, REST APIs, databases, and AI-powered applications. Experienced in developing chatbots, LLM integrations, automation workflows, and scalable web solutions. For this project, I can develop an MVP covering customer support, sales/lead generation, and task automation agents with a modular API architecture, documentation, setup instructions, and integration-ready REST endpoints for future web and mobile applications. Regards, Arigopal G

@Weiw71

I can take care of ‘AI Utilities & Chatbots Development’. I’ll reproduce the integration flow, implement the required endpoint/auth/error handling, and verify the happy path plus failure cases, then deliver working source/configuration with test evidence and concise setup notes. The listed stack (Python, Google App Engine, Git) fits that delivery path. I can start immediately; proposed turnaround is 2 days. If you have one priority sample or edge case, I’ll use it as the acceptance check.

@gregborbonus

Hi, I'm Greg. AI Utilities & Chatbots Development is in my wheelhouse (AI automation). I design and ship AI agents and workflow automation (n8n/Make/custom) tied to real ops, not demo chat widgets. I read the brief and can work from your current workflow, not a canned chatbot. I can start as soon as we agree scope. Proposed INR 1,050 over 7 days. If that matches what you actually need, I am happy to jump on a short call. — Greg

@manishb076

Hi, I'm a full-stack developer (MERN — React/Node/MongoDB) with experience integrating AI into web apps, and I can build this agent suite with a lean, reusable architecture. Stack: Node.js/Express + LangChain for agent orchestration, vector DB (Pinecone/MongoDB Atlas Vector Search) for your docs. Custom stack over Rasa/Dialogflow — faster to iterate, easier to maintain, fits your ecosystem. Approach: Support bot — RAG pipeline over your docs, with escalation rules to hand off complex queries. Sales bot — Guided offers/lead capture flow, webhook triggers to email/push tools. Automation agent — Node cron/event-driven jobs for data entry, reports, notifications, with logging. APIs/SDKs — REST endpoints + embeddable JS snippets for web, REST hooks ready for mobile. Docker + docs — Dockerized setup, scripts, deployment docs for full local replication. Deliverables: Working prototypes (local + staging), Dockerized code, REST/SDK docs, hand-off walkthrough call. Timeline: 2-3 weeks depending on doc volume and integration complexity. Happy to start with a quickl to review your docs and campaign tools. Thanks, Manish

@branrichardson

I can deliver all three working prototypes for INR 10,000: documentation-based support with escalation, sales/offer guidance with lead capture and a campaign trigger, and scheduled/event-driven automation. I would use Python, shared REST endpoints, a web chat widget and persistent lead/job records. Support answers cite supplied documents and escalate unanswered questions. The sales bot uses supplied offer content. Campaign and job retries avoid duplicate actions. Included: one existing website/staging environment, one model provider, one English corpus up to 30 text-readable documents/200 pages, one escalation destination, one existing email/push API or webhook, and one report/notification workflow with schedule and event triggers. All three prototypes run locally and on your staging URL. You receive source, setup scripts, REST examples for web/future mobile use, test notes, a configuration/content-update video and one correction round. No model fine-tuning, native mobile app or production uptime guarantee. Before acceptance, we confirm the site stack, documents and integration routes. You supply authorized access, existing provider accounts, hosting and usage costs. Delivery: 10 days after agreed scope, inputs and a funded milestone. My local synthetic integration check covers retrieval, escalation, lead retries and persistent jobs; I am not presenting it as a previous client deployment.

@Aayushpratapsing

Aapka proposal 1500 characters se bada ho gaya tha, isliye validation error aa raha hai. Aap niche diye gaye short (crisp) version ko direct copy karke paste kar sakte hain. Ye exact 850 characters ka hai: Hi there, I reviewed your project requirements for building AI-driven chatbots (Customer Support, Sales/Marketing, and Task Automation). I specialize in AI chatbot development using LangChain, Rasa, and custom Python/Node.js stacks. Here is my approach to deliver your project: Modular AI Agents: Support Bot: RAG-based integration with your docs for accurate answers & escalation. Sales Bot: Lead capture, offer guidance, and push/email triggers. Task Automation: Scheduled/event-driven scripts for data entry & reporting. Integration & Deliverables: REST API endpoints and lightweight SDK snippets for web and mobile embedding. Working prototypes running locally and on staging. Clean code with Docker files for easy setup. Live walkthrough call for retraining & extending models. Ready to start immediately