Agri-Price Dream Weaver

Inspired by 'Agricultural Prices' scraper, 'Inception,' and 'I, Robot,' this project aims to build a niche banking software feature. The 'Agri-Price Dream Weaver' analyzes a user's reported dreams for emotional cues linked to specific agricultural commodities. First, the system scrapes real-time and historical agricultural price data. Second, it uses a sentiment analysis engine trained on textual descriptions of common dream themes (e.g., abundance, scarcity, natural disasters) and associates them with potential biases towards or against specific agricultural products (e.g., corn, wheat, soy). Users would input a dream journal entry or answer a structured questionnaire about their dreams. The system would then analyze the text, identify prevalent themes, and correlate them with the agricultural price data. The output is a personalized investment risk profile, highlighting potential unconscious biases impacting investment decisions in the agricultural sector. The 'I, Robot' influence manifests as a focus on responsible AI. The system explicitly states it is augmenting, not replacing, human judgment. It flags potential biases, providing a more objective view of market opportunities and risks. The 'Inception' element is the idea of 'planting' objective analysis within the user's subconscious, helping them make more informed decisions by addressing hidden emotional factors. High earning potential stems from the specialized nature of agricultural investment, the personalized risk assessment, and potential licensing to larger banking institutions. It's low-cost due to readily available scraping tools, sentiment analysis libraries, and existing user interfaces in banking systems which this enhances rather than replaces. The implementation could start with a Python-based scraper and a simple text analysis model connected to a basic banking UI mockup.