AI Taxi Booking Chatbot

@ukroficer

✅ Hello, We would start by mapping the taxi chat states around pickup address/contact, destination/instructions, and pickup time, then match each confirmed field to your .NET order logic. Since your site is custom JavaScript, we’d keep the widget isolated and compare Gemini vs ChatGPT on cost, latency, and future model switching before coding. - Use a small SPA-style JS widget to avoid SSR and page disruption. - Match your current UI; if Figma exists, build pixel-accurate HTML/CSS. - Keep state in the widget, then post validated payloads to your .NET API. - Lazy-load the chat and add staging E2E tests for vague/missing answers. We are Webcapitan, a Ukraine studio with 8+ years, Preferred Freelancer status, and 5★ across 580+ reviews. Do you have a Figma/chat design, or should we match the live site? Can the staging API take one final payload, or should it receive updates per step? Please let me know your thoughts. Looking forward, Roman

@rajat07me

As an experienced digital agency excelling in cutting-edge technologies, 360 Elevate is uniquely positioned to deliver the AI Taxi Booking Chatbot you need. Our in-house team has deep expertise in HTML, CSS, HTML5, and JavaScript, the backbone of your project. We help weigh important considerations such as cost-effectiveness, performance, and precision when choosing between Google Gemini or OpenAI's ChatGPT. Having built similar bespoke chatbots, we understand the complexity of collecting vital data like pickup addresses, destination, instructions, and pickup time. Our rigorous validation and error-handling methods ensure data consistency while maintaining conversational tone. Our culture aligns with successful delivery: disciplined work ethic, controlled quality assurance at every stage, comprehensive end-to-end testing, and scalability considerations. We excel at integrating various services cohesively. With us, you get not just a dedicated AI developer but a holistic problem-solver optimizing your entire online ecosystem performance.

@webbookstudio

Hi there, We understand you're looking to integrate an AI-powered chatbot into your custom-built website to collect taxi booking details from visitors. The goal is to capture pickup address, destination, pickup time, and special instructions through a conversational flow, then pass this data to your existing order-processing logic. Our team at Webbook Studio has experience with AI chatbot development and API integration, having built similar projects like a learning platform website for children using PHP, WordPress, and custom design. For this project, we can recommend the best LLM (Large Language Model) based on your requirements, considering factors like cost, latency, and ease of integration. We'll design a conversational flow, develop a front-end chat widget, and ensure seamless API integration, along with validation and error handling to guarantee smooth user experience. Can you tell us more about your current website's architecture and how you envision the chatbot interacting with your existing order-processing logic? Feel free to message us to discuss the details! — Webbook Studio

@ahmadayaz

I propose an AI-powered chat integration using OpenAI’s ChatGPT for your custom website. The solution will capture data efficiently, with error-handling mechanisms for a seamless user experience. We will validate data submission and ensure easy future adjustments. This integration will work harmoniously with your existing system, enhancing functionality and user experience. Let's work together to bring this innovative chat solution to life on your website.

@diektech

Hi — Elias here from Miami. I see you’re looking to integrate an AI-powered chat experience into your custom-built website. This is a great way to enhance user interaction and streamline bookings. The real technical challenge here often revolves around API integrations and ensuring reliable state management. A common issue in systems like this is maintaining responsiveness while handling multiple user queries simultaneously. Looks straightforward initially, but the complexity can rise quickly with user roles and permissions. My approach would focus on building a robust backend that easily integrates with your existing frontend. Prioritizing scalability and maintainability will be key, ensuring the chatbot can evolve as your business grows. I’ve worked on similar projects where seamless API communication and user experience were critical, and I aim to bring that expertise to your project. A few questions to better understand the scope: Q1 – What specific user roles and permissions do you envision for the chatbot interactions? Q2 – Are there particular third-party services or APIs you plan to integrate with? Q3 – What are your expectations regarding the scalability of the chatbot as user demand increases? Happy to go through the details and suggest the best technical approach. Looking forward to hearing from you.

@OutsourceMan

Dear Valuable Client, At CnEl India, we specialize in AI/LLM integrations, custom prompt engineering, and embedding real-time conversational workflows into modern web applications. We can engineer your AI Taxi Booking Chatbot widget and connect it directly to your existing backend API endpoints. Our Project Methodology & Recommendation: LLM Selection & Prompt Engineering: We recommend OpenAI (GPT-4o mini) or Google Gemini 1.5 Flash for ultra-low latency, low per-request costs, and reliable JSON function calling. We design system prompts with conversational fallbacks to handle incomplete or ambiguous addresses/times gracefully. Frontend Chat Widget & Flexible Integration: Build a lightweight, zero-dependency JS/HTML/CSS chat widget that embeds without impacting page load speed. We implement an API abstraction layer so you can easily swap LLM providers in the future. Validation & API Hand-off: Enforce strict client and server-side validation for pickup address, contact details, destination, and pickup time before handing off structured payload data straight into your order-processing backend API. Testing & Deployment: Execute end-to-end test cases in your staging environment to guarantee reliable booking submissions before production release. Ready to start immediately! Best regards, CnEl India Team

@a4logic

Hello, Drawing from over 15 years of building digital solutions for businesses, I am excited to apply my expertise to enable your chatbot project. My diverse experience, encompassing frontend and backend technologies, Python and AI automation, and excellent command over JavaScript makes me the ideal candidate to deliver the intelligence you require without compromising load times or functionality on your site. As a fluent developer in both frontend (CSS, HTML, JavaScript) and backend technologies (PHP, .NET), I thrive at creating seamless user experiences while carefully integrating complex systems. My familiarity with various AI models - Google Gemini, OpenAI’s ChatGPT, etc. - puts me in an advantageous position to weigh pros and cons based on customization needs, performance considerations, and clever deployment cost plans for your specific case. Most importantly, my highest value is not only delivering a one-off solution but ensuring its agility for change. Therefore, this project won't just be a working chatbot on your website. It will be equipped with comprehensive testing plans for data validation and error-handling while maintaining the ability to incorporate upgraded models and enhanced features in the future. Thanks!

@Microlent

Hello, I am Dr. Rajesh Rolen, PhD in Computer Science & Engineering, with experience of over 20+ years in API Development, JavaScript, CSS, HTML, HTML5, AI Chatbot Development As a preferred freelancer in the top 1%, I have done 400+ projects here on freelancer.com, I have 4.9 ratings out of 5 on average, which showcases my quality of work and timely delivery. Key Highlights: - Free Hosting Support on the Cloud or any desired platform. - Free 3 months of post-delivery support to ensure that our client doesn’t face any challenges after the launch of the project. - Free Dedicated tester on projects to ensure quality delivery, so clients don’t need to act as a tester. - 10+ Years experience UI/UX team to ensure intuitive UI. Portfolio: https://www.freelancer.com/u/Microlent Please open the chat and send me a message, so we can have a more detailed discussion about the project to give you the project timeline and cost. Thank you for considering my services. I look forward to engaging in a productive conversation and understanding how I can be of assistance in bringing your project to life. Regards Rajesh Rolen

@gotucat

Hi, I reviewed your request to build an AI Taxi Booking Chatbot that guides users through pickup address/contact, destination/special instructions, and pickup time, then sends that data into your existing .NET order-processing logic. I’ll design the conversational flow and prompt engineering around those three fields, implement an embedded chat widget using HTML, CSS, and JavaScript, and connect it to an API that posts validated results. For incomplete or ambiguous answers, I’ll add validation and error-handling so the chatbot re-asks gracefully, without disrupting current pages or load times. I’ll deliver clean, maintainable front-end code plus end-to-end test cases for staging, and keep the model swap flexible so you can move between OpenAI or Gemini with minimal changes. Let’s discuss here now.

@webperfection123

Hi, I understand the goal — you need a lightweight AI chat widget on your existing JavaScript/.NET website that collects the pickup details, destination/instructions and pickup time, then sends the structured data into your existing booking logic. I can handle the conversation flow, prompt setup, JS/HTML/CSS widget, API integration, validation and error handling. The chatbot will ask follow-up questions when something is missing or unclear rather than sending incomplete booking data. For the AI model, I can compare OpenAI, Gemini and other suitable options based on accuracy, cost and response speed, and recommend the best fit before implementation. I’ll also keep the integration flexible so the model can be changed later without rebuilding the whole chatbot. I’ll test the complete flow in your staging environment and make sure the final data reaches your .NET backend in the same structure as a normal booking form. Happy to review your current API/order-processing setup and get started.

@rizwange4

Hi, I can integrate an AI-powered chat widget into your JavaScript/.NET website to collect pickup details, destination/instructions, and pickup time, then pass validated data directly into your existing order-processing API. I can work with OpenAI, Gemini, or another suitable LLM and recommend the best option based on cost, latency, reliability, and your workflow. I’ll handle prompt/conversation design, responsive chat UI, validation, error handling, API integration, staging tests, and production deployment. I’ll also keep the architecture flexible so you can switch AI providers later without rebuilding the entire system. Best regards, Muhammad Rizwan LA

@techplusintl

Hi, ★★★ JavaScript and .NET SPECIALIST ★★★ I can implement an AI-powered chat experience to enhance your custom-built website. To achieve this, I will design a conversational flow that captures the pickup address, contact details, destination, special instructions, and pickup time. I will use OpenAI’s ChatGPT for its flexibility and proven performance, ensuring that the chat widget is embedded without disrupting your current pages or load times. I'll focus on validation and error-handling to ensure that any incomplete or ambiguous answers are re-asked gracefully, preventing user frustration. I will create end-to-end test cases to verify that data is posted correctly into your staging environment, ensuring that the chatbot functions as intended before going live. I will also ensure that the implementation allows for future model alterations. To get started, I will need access to your existing order-processing logic and any specific requirements you have for the chat widget's appearance. Thanks!

@raheel2k29

Hello, I can build your AI Taxi Booking Chatbot and integrate it seamlessly with your existing JavaScript frontend and .NET backend. I’ll handle: AI conversation flow for pickup, contact details, destination, instructions, and pickup time Lightweight JS/HTML/CSS chat widget API integration with your existing order-processing logic Validation and smart follow-up questions for missing/ambiguous data OpenAI/Gemini integration with a flexible architecture for future model changes Complete staging and end-to-end testing I’ll make sure the chatbot reliably collects the required details and submits them to your backend exactly like your existing booking form. I’m ready to start immediately. Best regards Raheel

@inertiasoftltd

Hello, As a seasoned website developer and graphic designer with over 8 years of experience, I'm confident in my ability to deliver an AI-powered chatbot solution tailored to meet your needs. My solid experience in AI Chatbot Development and Model Integration aligns perfectly with your project requirements. I'm well-versed in working with JavaScript, HTML, HTML5 and CSS proficiently - all pivotal to implementing this AI taxi booking chatbot. One thing that distinguishes me is my meticulousness towards ensuring clean code, responsive design, fast load times and secure solutions which I believe are vital attributes for any online project. I also have exposure to Google Gemini, OpenAI’s ChatGPT and other LLMs, and can provide you with the pros, cons, cost considerations of each. Additionally, I assure you a seamless integration of the chatbot without causing any disruptions to your current pages or load times. Finally, my process-driven work style involves requirement analysis, careful design and development followed by rigorous testing before final deployment. My job doesn't end there - even after the successful implementation of the chatbot, I'm dedicated to providing ongoing support. With me on board, you can rest assured of a professional website enlivened by stunning visuals that caters to your clientele's needs effectively. Choose me for utmost reliability and full commitment towards the success of your project. Looking forward Thanks!

@starttechno

Your AI taxi booking chatbot can be integrated cleanly into the existing JavaScript front end and .NET order-processing flow without affecting current pages or initial load performance. I’ll design a concise conversation that collects pickup address and contact details, destination and special instructions, then pickup time, with confirmation before submission. I’ll build a lightweight HTML/CSS/JS widget that loads asynchronously and posts through a secure .NET API endpoint. The LLM will be called server-side, with structured JSON/function-style output so your existing logic receives predictable fields rather than raw chat text. I’ll add validation for missing addresses, unclear times, incomplete contact details, and ambiguous responses, with natural re-asking and a final booking summary. For the initial model, I’ll compare OpenAI and Gemini based on response latency, structured-output support, reliability, and expected usage cost. I’ll keep the provider behind an adapter so switching models later does not require rebuilding the widget or backend contract. I’ll also provide staging test cases covering valid bookings, corrections, unclear answers, API failures, and incomplete submissions, then verify the production handoff. Is the existing order-processing API already available in your staging environment for the chatbot to call? Muhammad Saad

@anirudhat

For a booking bot the risk isn't the conversation, it's the model inventing a plausible address or misreading "tomorrow at 8" — so I'd use tool calling with a strict schema rather than parsing free text, validate addresses against a geocoding API, resolve relative times server-side in your local timezone, and only post to your .NET endpoint once every field passes validation, re-asking naturally for whatever's missing or ambiguous. The LLM call sits behind a thin provider interface in your backend so switching between Claude, Gemini or GPT is a config change and your API key never reaches the browser. On model choice: Claude Haiku or Gemini Flash both handle this cheaply at low latency; I'd benchmark two on your real prompts and show you the numbers rather than guess. The widget ships as a single async-loaded script so existing pages and load times are untouched. I can start immediately.

@Hammadhassan21

Howdy, The key here is making the AI collect structured booking data reliably, rather than producing loose text that your order system has to interpret. I’d design the flow so the assistant gathers pickup/contact details, destination/instructions, and pickup time, validates each field, and only submits a structured payload to your existing .NET order logic once the required information is complete. Since your site already uses JavaScript with .NET, I’d keep the widget lightweight and route the LLM interaction through your API rather than exposing credentials in the browser. The integration can also keep the model provider replaceable later. I’d compare OpenAI, Gemini, and alternatives based on latency, API cost, structured-output support, and reliability for this workflow, then test incomplete, ambiguous, corrected, and successful conversations against your staging endpoint. Portfolio: https://www.freelancer.com/u/Hammadhassan21 Best regards, Hammad Hassan

@ajharul

Hello, I understand your goal for an AI taxi booking widget. I will build a lightweight JS interface using GPT-4o for its low latency and high accuracy in structured data extraction. Let’s discuss and get started! -AJ

@seefattechnologi

Hi, I will build this as a lightweight AI booking layer on top of your existing JavaScript and .NET system, without disrupting your current pages or order processing. The chatbot will collect pickup/contact details, destination/instructions, and pickup time, validate missing or ambiguous information, then send clean structured data directly to your existing API. I can evaluate OpenAI, Gemini, or another suitable LLM based on accuracy, latency, API cost, and structured output reliability, while keeping the integration model agnostic so you can switch providers later. My approach will cover conversational flow and prompt design, responsive JS/HTML/CSS widget, secure API integration with .NET, validation and graceful re questioning, staging tests, and production readiness. Please share your existing booking API or staging environment so I can review how the chatbot should connect to your current order processing logic. Please ping me to get started and get outstanding results. Thanks!!!