Contact person: Business Client

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Location: Mohali, India

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I want to bring an AI-driven marketing platform from concept to a working MVP. The core engine must deliver three things out of the box:

• Accurate customer segmentation that can cluster audiences in real time from first-party and third-party data
• On-the-fly personalized content generation for ads, email, and landing pages
• Predictive analytics that surface next-best-action insights and revenue forecasts

While e-commerce, finance, and healthcare will certainly benefit, my vision is broader; I want the architecture to stay flexible enough for any brand, agency, Meta campaign manager, SEO specialist, or in-house growth team to plug in and start seeing lift.

Here is how I picture the initial scope:
1. Data ingestion layer (APIs, webhooks, CSV) with basic hygiene and consent controls
2. Model selection or custom training pipeline using Python, TensorFlow/PyTorch, or another production-ready stack you recommend
3. Lightweight web dashboard (React, [login to view URL] or similar) that surfaces the segmentation cohorts, generated creatives, and forecast reports
4. Clear documentation plus a short Loom walkthrough so my own devs can extend the codebase

I value clean, well-commented code, regular check-ins, and evidence of prior work on machine-learning-driven SaaS. If this sounds like your wheelhouse, tell me which frameworks you’d lead with and how long an MVP would realistically take." (client-provided description)