I need a full-stack solution that uses machine learning to identify the right Instagram creators for my products and then handles the outreach without constant human input. The ultimate metric is simple: higher sales that can be attributed back to influencer partnerships. Core workflow • The platform should crawl or ingest public Instagram data, learn from past campaign results I provide, and surface a ranked list of creators whose audiences are most likely to buy. • Once I approve a shortlist, the system must auto-generate and send personalised messages, track replies, and schedule follow-ups, all through Instagram-compliant endpoints. • Real-time dashboards showing cost per conversion, projected versus actual revenue, and creator ROI are a must so I can quickly double-down on what works. Key deliverables 1. AI-powered discovery and matching algorithm tied to Instagram audience signals. 2. Automated communication module with templating, A/B subject lines, and response tracking. 3. Admin dashboard with filters for niche, follower count, engagement rate, and purchase lift. 4. Clean, documented API so I can plug the data into my existing ecommerce reports. Acceptance criteria • Matching model consistently surfaces creators whose campaigns beat my current ROAS by at least 20 %. • Outreach success rate (reply or accept) improves over my manual benchmark within the first month. • All data collection and messaging respect Instagram’s latest terms of service. You’re free to choose the stack—Python with TensorFlow, a Node/TypeScript backend, or another proven approach—as long as the final product is scalable and well-documented. I’m ready to move quickly and can supply historical campaign files for training as soon as we agree on milestones.