Quantum-Enhanced AI Models for Next-Gen Predictive Analytics

Our startup is seeking expertise in integrating quantum computing techniques with AI & Machine Learning models to create a powerful predictive analytics tool. The project involves the development of a quantum-enhanced machine learning model, designed to offer superior predictive capabilities in volatile markets. By leveraging quantum computing, we aim to enhance the precision and execution speed of existing predictive models, providing businesses with a distinct competitive edge. The solution will deploy advanced large language models (LLMs) alongside machine learning frameworks such as TensorFlow and PyTorch. The project also explores the use of NLP for improved data insights and AutoML for automated model building. Key tasks include the integration with OpenAI APIs, the deployment of models using Langchain and Pinecone, and the implementation of computer vision techniques with YOLO for data-driven insights. The project is expected to be completed in 4-6 weeks, with a budget allocated between $5,000 and $25,000.