AI-Powered website and social media platforms integration
Budget / Salary₹1,500–12,500
TypeFreelance project
LocationRemote
Posted45 minutes ago
I need a full-stack website that places an AI-driven data-analysis engine at its core and wraps it in a clean, modern user experience. Visitors and administrators should see real-time analytics drawn from site traffic, product interactions, and any additional datasets we feed in. A simple, intuitive dashboard must surface descriptive and predictive insights in charts, tables, and exportable reports.
Alongside the analytics, the site will host a text-based chatbot for customer support. The bot’s sole focus is to answer our most common FAQs and to surface up-to-date product information pulled directly from our catalogue. No live-agent hand-offs are required for now—just fast, relevant answers that keep users engaged.
Tech stack is flexible, though Python (TensorFlow or scikit-learn) for modelling and React or Vue on the front end feels natural. Whichever framework you choose, keep the ML pipeline clearly documented so my team can retrain models later. A relational database is fine, but NoSQL is acceptable if you can justify its value for the analytics workload.
Deliverables
• Responsive front end and secure back end
• AI data-analysis module with admin dashboard
• Embedded chatbot answering FAQs & product info
• Well-commented source code, README, and retraining guide
Acceptance criteria
• Dashboard updates with fresh data in under 5 minutes
• Chatbot returns correct answers ≥90 % of test prompts
• All dependencies install cleanly via a single command
If this scope fits your skill set, let’s get started.
Alongside the analytics, the site will host a text-based chatbot for customer support. The bot’s sole focus is to answer our most common FAQs and to surface up-to-date product information pulled directly from our catalogue. No live-agent hand-offs are required for now—just fast, relevant answers that keep users engaged.
Tech stack is flexible, though Python (TensorFlow or scikit-learn) for modelling and React or Vue on the front end feels natural. Whichever framework you choose, keep the ML pipeline clearly documented so my team can retrain models later. A relational database is fine, but NoSQL is acceptable if you can justify its value for the analytics workload.
Deliverables
• Responsive front end and secure back end
• AI data-analysis module with admin dashboard
• Embedded chatbot answering FAQs & product info
• Well-commented source code, README, and retraining guide
Acceptance criteria
• Dashboard updates with fresh data in under 5 minutes
• Chatbot returns correct answers ≥90 % of test prompts
• All dependencies install cleanly via a single command
If this scope fits your skill set, let’s get started.
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