AI-Powered Influencer Performance Prediction Platform

Our scale-up company in the Social Media & Influencer industry is seeking to create a cutting-edge AI-powered Influencer Performance Prediction Platform. The main objective is to utilize predictive analytics and natural language processing (NLP) to evaluate and forecast influencers' future performance metrics, such as engagement rates, audience growth, and brand alignment. This project will leverage state-of-the-art technology, including OpenAI API and TensorFlow, to process and analyze large datasets from various social media platforms, enabling brands to make informed decisions when partnering with influencers. The platform will feature a user-friendly dashboard, providing insights and recommendations tailored to each brand's specific objectives and target demographics. Key functionalities will include influencer trend analysis using LLMs, real-time sentiment analysis through NLP, and the integration of AutoML to continuously improve prediction accuracy. Additionally, the platform will implement computer vision techniques via YOLO to assess the visual content quality and alignment with brand aesthetics. Our goal is to empower brands to maximize their marketing ROI by selecting the most compatible influencers in a data-driven manner. The successful candidate will be responsible for designing, developing, and deploying this platform within an 8-12 week timeframe, ensuring high performance and scalability to handle growing data volumes and user demand.