WhatsApp Advisor Chatbot Dashboard -- 2

@Microlent

Hello, I am Dr. Rajesh Rolen, PhD in Computer Science & Engineering, with experience of over 20+ years in API Development, PHP, MySQL, C# Programming, Full Stack Development, Software Architecture, AI Chatbot 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

@rajat07me

Hi, this is a strong fit for my team because your project is really two connected systems: a WhatsApp advisor bot plus an admin dashboard with role control, user tracking, and reporting. I can build this using a clean, scalable stack that keeps hosting reasonable and makes future additions like analytics and broadcast features easier. I’ve handled chatbot logic, admin panels, and secure data-driven workflows before, so I understand the importance of permission testing and reliable activity logs. You’ll also receive documented code and setup guidance at handover.

@webbookstudio

Hi there, We understand you're looking for a full-stack solution that integrates a WhatsApp-based advisory chatbot with a web dashboard, focusing on user management, chatbot functionality, and secure data storage. Our team at Webbook Studio has experience with similar projects, including custom PHP development and API integrations, such as our work on a learning platform website and a music voting mobile app. We can leverage technologies like PHP, MySQL, and JavaScript to build a scalable and secure solution, ensuring reasonable hosting costs and straightforward future feature additions. What specific analytics and tracking tools would you like to integrate into the dashboard for monitoring user activity and conversation history? Feel free to message us to discuss the details! — Webbook Studio

@shivmirthyusl

Hi, With a team of 40+ skilled developers and designers and over 19 years of experience, IT Flex Solutions India has a proven track record of delivering reliable, scalable, and future-ready technology solutions that drive business growth. We excel in developing web-based dashboards and AI-powered chatbots, with a particular focus on user management and data manipulation. From assigning and editing user roles to storing conversation data securely, we're well-versed in every core requirement you've mentioned for this project. Implementing the official WhatsApp Business API is not new to us; we've done it before and have a deep understanding of how to maximize its functionality to create powerful chatbot solutions. We also prioritize clean, well-documented code and provide in-depth handovers so you can continue using the system efficiently even after our engagement ends. Thanks, SBM

@diektech

Hi, I’m Elias, a Miami-based senior software engineer with 20 years of experience. I specialize in full-stack development and have worked extensively on AI chatbots and dashboard solutions. I understand you’re looking to create a WhatsApp-based advisory chatbot and a web dashboard to manage it, which is a great way to enhance user engagement. I have built similar systems that integrate chat functionalities with user-friendly dashboards. My focus is on secure architecture, responsive UI, and scalability. Here’s how I would approach your project: 1) Understand the business workflow and technical requirements. 2) Design the user experience and architecture for both the chatbot and dashboard. 3) Develop the core features along with necessary API integrations. 4) Conduct thorough testing to ensure everything runs smoothly. 5) Deploy the solution and provide ongoing support. Could you please clarify the following questions to help me better understand the project? 1) What specific features do you envision for the dashboard regarding user management? 2) Are there any particular integrations with third-party services that your chatbot needs? 3) How do you foresee handling user permissions within the chatbot environment? I’ve built similar chat-based systems before. Most of my projects were completed under NDA, so I can’t share links, but I’d be happy to discuss the architecture and features in detail. I can also ensure a maintainable codebase for future updates.

@techplusintl

★★★ CHATBOT SPECIALIST ★★★ Hi, I see that you need a full-stack solution for a WhatsApp-based advisory chatbot and a web dashboard. This project has many parts, like user management and secure database connections. I can use the official WhatsApp Business API and ensure the chatbot can give smart replies. I will also make sure the dashboard tracks user activity and provides insights. For implementation, I will choose frameworks that keep costs low and allow easy future updates. I will write clean code and provide setup instructions. I will also ensure that everything works well before you test it. I'm available to start immediately!

@installerpoint

Hi, I can build the WhatsApp Advisor chatbot and management dashboard as a secure, scalable full-stack system, with the official WhatsApp Business API at the center of the architecture. The key here is not just connecting a chatbot to WhatsApp, but building a reliable backend where conversations, permissions, activity and analytics are all properly connected and auditable. You’ll receive the complete source code, setup documentation, environment-variable requirements and deployment instructions. I’m ready to build this as a solid foundation rather than a quick chatbot prototype, with particular attention to secure permissions, reliable WhatsApp integration and accurate activity tracking. Best regards. ADEEL

@extreamcode

Hello, You’re not just building a chatbot , you’re trying to keep every advisor interaction accountable, searchable, and permission-controlled behind the scenes. That hidden need is exactly where solid architecture matters. I’ve built PHP/MySQL and dashboard-based systems with role management, activity tracking, and API integrations, and I can connect your WhatsApp Business API flow with a clean admin panel that manages users, permissions, conversation logs, and usage insights in one place. I’d suggest a practical stack that keeps hosting costs reasonable while staying flexible for future analytics and broadcast features. I’ve shared an initial estimate based on your description, and once we go over a few technical or functional details, I’ll confirm the exact cost and delivery schedule. If helpful, I can map the database structure, permission model, and WhatsApp event flow first so implementation stays clear from day one. Do you already have WhatsApp Business API access approved, and should the AI replies start rule-based or LLM-powered? Before I begin, could you share whether you already have WhatsApp Business API access approved, and do you want the AI replies to be rule-based first or connected to an LLM from the start? Looking forward to your reply so we can finalize the exact plan. Thanks, Asad

@anirudhat

Since user management with granular roles is the heart of this, I'd design the data model and permission layer first — a proper role/permission schema so the dashboard can gate every action and the activity reports (logins, conversation history, usage stats) all read from the same source of truth rather than being bolted on later. My stack: a React dashboard with a Node/TypeScript API and PostgreSQL, which keeps hosting costs modest and makes future additions like broadcasts and analytics straightforward. The bot connects to the official WhatsApp Business API via webhooks (no unofficial libraries), routes each message through a logic layer that blends scripted flows with AI-driven replies — so it acts as a real Advisor — and every conversation is stored in the database the dashboard queries for its reports. Secrets stay server-side in env vars, with clean documented code and setup instructions at handover. Given the scope I'd build in milestones you release as each verified piece lands — user management and dashboard first, then the bot — so your sign-off tests happen incrementally. Experienced with WhatsApp Business API and role-based dashboards. I can start on the schema and permission design right away.

@raheel2k29

Hi, I can build your WhatsApp Advisor chatbot and full web dashboard with official WhatsApp Business API integration, secure role-based permissions, user management, conversation history, analytics, and activity tracking. I’ll use a scalable, cost-effective architecture with clean, documented code and provide complete setup/environment documentation. The system will be designed for easy future additions such as AI improvements, broadcasts, and advanced analytics. Ready to start immediately. Best regards RAHEEL

@gutibs

Hi! This is something we can definitely handle. A couple of things would help me scope it properly before throwing a number at you. On the bot side: how "AI-driven" do you want the advisory replies to be? There's a big difference between a well-structured decision tree with some smart branching, and a fully LLM-powered advisor that reasons through open-ended questions. The second adds cost both to build and to run (API usage per conversation). What kind of advice is the bot actually giving — is it domain-specific enough that scripted flows cover most cases, or do users ask unpredictable questions? On the dashboard: you mention "in-depth insights" and "tracking tools for specific components" — can you give me an example of what that looks like for you? I want to make sure we're aligned on what's an MVP and what's a phase 2, especially within this budget range. For the stack, we'd go with a Python/Django backend (REST API), a clean React or SvelteKit dashboard, and PostgreSQL for storing conversations and user data. WhatsApp integration via the official Cloud API (Meta). That keeps hosting lean and makes adding broadcasts, analytics or new roles later very straightforward. Happy to keep scoping this out over chat. Gustavo & the DoTheCode team

@sagarwal3005

For your WhatsApp Advisor Chatbot Dashboard project, I can create a full-stack solution that integrates WhatsApp Business API for your chatbot and a robust web dashboard for user management. I would leverage technologies such as Node.js and Express for the backend, React for the frontend, and MongoDB for secure data storage. This stack is efficient for real-time communications and supports future feature expansions seamlessly. I have a 4.9-star rating across 200 reviews and have completed 220 projects, showcasing my commitment to quality and reliability. Could you clarify any specific analytics features you envision for the dashboard?

@C0RETECHIES

Hello, System understanding: The solution needs a WhatsApp Business API-powered advisory chatbot that stores conversations and a web dashboard for user role management, activity tracking, analytics, and profile updates. The bot must handle scripted and AI-driven replies, while the dashboard provides granular permissions, login stats, conversation history, and component‑level analytics. Technical approach: Use Node.js/Express for the WhatsApp webhook and API integration, with Twilio's Official WhatsApp Business SDK or direct HTTPS calls to ensure compliance. Backend logic (intent detection, fallback to OpenAI GPT‑4o mini) lives in separate services; conversation logs go to PostgreSQL. Dashboard built with React.js and Ant Design, consuming REST/NestJS APIs for user CRUD, role‑based access control, and analytics charts via Redis‑cached aggregates. Hosting on AWS EC2/RDS or a low‑cost VPS keeps expenses predictable. Core modules: - WhatsApp Adapter: verifies signatures, inbound/outbound messaging, queues AI requests. - Advisor Engine: rule‑based script matcher → LLM fallback, prompt templating, safety filters. - Data Layer: encrypted conversations, user profiles, role/permission tables, audit logs. - Dashboard API: Auth (JWT), RBAC middleware, user management endpoints, activity/query services. - Analytics Engine: pre‑aggregates daily stats, stores in Redis for fast dashboard queries. - Admin Tools: bulk user import, permission matrix editor, broadcast message scheduler. Relevant systems: - AI-Powered Chatbot Backend (n8n, OpenAI) - shows intent detection & conversation logging. - TDTY (Node.js/React, RBAC, audit logging) - demonstrates role‑tier management and activity tracking. - Bison360 (Spring Boot/React, encrypted PostgreSQL) - proves secure data handling and scalable API design. Implementation strategy: 1. Set up WhatsApp Business API sandbox & webhook, implement signature verification. 2. Build Advisor Engine with script rules and LLM fallback; store logs. 3. Develop core user/role APIs and dashboard UI for profile & permission management. 4. Add activity tracking and analytics aggregation. 5. Conduct role‑permission testing, live chat validation, then handover with docs. Questions: - What is expected daily message volume to size the webhook and DB? - Do you have predefined advisory scripts or should we create a prompt library for the LLM? - Which analytics dimensions (e.g., per‑topic engagement, response time) are most important for the dashboard? Regards, Rohit

@corpmember29

Hello, WhatsApp Advisor Chatbot Dashboard Developer {{{ I HAVE CREATED SIMILAR BEFORE AND I CAN SHOW YOU }}} I have carefully reviewed your requirements and understand that you need a secure full-stack dashboard connected with the official WhatsApp Business API, combining role-based user management, activity tracking, analytics, and an AI-powered advisory chatbot. I have 11+ years of development experience and can build the solution with a scalable backend, secure database, granular RBAC, conversation history, user insights, analytics tracking, and both scripted and AI-driven responses. I will integrate the official WhatsApp Business API, maintain secure conversation records, provide dashboard-based monitoring, and structure the architecture so future features such as broadcasts, advanced analytics, and additional AI capabilities can be added easily. I will also provide clean, documented source code, deployment instructions, environment configuration, testing, and complete handover. I eagerly await your positive response. Thanks, Christina

@axiomswb

Your WhatsApp Advisor Chatbot Dashboard needs a specific build order I want to walk you through. For the WhatsApp layer I will connect exclusively to the official Cloud API with webhook verification, message queuing, and delivery receipt logging so your conversation history in the database is always complete and auditable. For the hybrid advisor engine I will use scripted flows for predictable queries and OpenAI for open-ended advisory replies, with a prompt guardrail layer that flags low-confidence responses before they reach your users and logs every AI reply for the audit trail your dashboard activity reports depend on. For user management I will build granular permission assignment at the individual level, not just preset roles, with login tracking and per-user conversation history that traces directly back to verifiable MySQL records, exactly the kind of sign-off test you described. One problem worth flagging now: WhatsApp Cloud API has a 24-hour messaging window that breaks advisory continuity if a user goes quiet. I will build a session re-engagement flow to handle this before it causes complaints. I will deliver fully documented code with setup instructions and all environment variables for USD 300 in 7 days. For the AI advisory replies, do you have a defined knowledge base or document set the bot should draw from, or should it rely on general OpenAI reasoning?

@Hubready

Hello!, I am a Florida-based senior software engineer(frontend, backend, ecommerce, etc) with 15+ years of experience building full-stack systems, AI chatbots, APIs, and dashboards. I read your WhatsApp Advisor Chatbot Dashboard project carefully, and I understand the main goal is to connect a WhatsApp-based advisory chatbot with a web dashboard so chat data, user activity, and admin controls all work in one place. I’ve built similar systems using PHP, C#, MySQL, API integrations, and AI workflows. My approach would be simple and practical: 1) confirm the WhatsApp flow and chatbot logic, 2) design the database and API layer, 3) build the dashboard with reporting and controls, and 4) test everything end-to-end for stability and clean delivery. Relevant work includes a client support chatbot dashboard for a local service business, a workflow automation portal for a SaaS team, a CRM analytics dashboard for an e-commerce project, and a WhatsApp lead capture tool. Could you please clarify the following questions to help me better understand the project? 1) Which WhatsApp provider or API are you planning to use, or should I recommend the best option? 2) What dashboard views matter most first, chats, users, reports, agent actions, or AI logs? 3) Should the chatbot be rule-based, AI-driven, or a hybrid of both? I pay close attention to the details, and that usually makes the difference between a rough build and a solid solution.

@protovosolutions

Hello, We would be glad to support you with this project. Protovo Solutions LLP provides reliable virtual assistance, data entry, research, and remote business support services to clients worldwide. Our team can handle both short-term assignments and ongoing support with accuracy, confidentiality, and clear communication. Our services include: • Data entry, data cleaning, and data formatting • Web research and information collection • Excel, Google Sheets, and document management • CRM data entry and database updates • Lead generation and contact-list building • Email and calendar management • Product listing and e-commerce support • Social media and content assistance • Customer and administrative support • Bookkeeping and accounting assistance • PDF conversion, copy-paste, and file organization • AI-assisted research and repetitive task automation We follow clear instructions carefully, provide regular progress updates, and review the completed work before submission. Our team can also adapt to your preferred tools, processes, working hours, and reporting format. Protovo Solutions LLP has been serving global clients since 2016 and has earned more than 100 client reviews on Freelancer. Please connect with us through chat to discuss the work. We can review your requirements and start with a small task or milestone before moving to the complete assignment. Kind regards, Protovo Solutions LLP

@naminghn

Hi there, To create a robust WhatsApp-based advisory chatbot and an accompanying web dashboard, I suggest using a strong PHP framework like Laravel, which supports the WhatsApp Business API efficiently. This will allow you to manage user roles and track activities effectively within the dashboard while ensuring secure storage of conversation data. I can implement the necessary user management features and ensure that the code is clean, well-documented, and easily maintainable for future enhancements. Your satisfaction is my priority and I guarantee that I will deliver you a high-quality result. Regards, Ali

@rbtech1984

Hello!! A secure WhatsApp advisory chatbot with a powerful web dashboard can be built to manage users, permissions, conversations, analytics, and AI-driven replies from one place. • Do you already have a verified WhatsApp Business account? • Should the advisor use your existing AI instructions or be created from scratch? • Which user activities and analytics are most important to track? The solution will use the official WhatsApp Business API, secure database storage, role-based permissions, conversation history, scripted and AI responses, detailed activity tracking, and an easy-to-manage dashboard. The architecture will remain flexible for future broadcasts and analytics. Relevant WhatsApp chatbot, AI integration, dashboard, and secure user-management projects have been completed, delivering reliable systems that are easy to expand. Let us discuss your workflow and dashboard requirements in chat. Best regards Farhin B