Artificial Intelligence & Machine Learning Application for ECORISE.FINANCE

Our company operates in the fintech and blockchain industry, specifically in the Tokenization of Real World Assets in the Regenerative Finance and Real Finance niches. As a platform service, we Tokenize Assets for Regenerative Projects to tap into greater liquidity markets and open financial access to many more, and we want to leverage the latest A.I. technology to gain market advantage. Applications of this technology include a Regenerative Impact A.I. Calculator and Estimator Tool that uses recommended and invented algorithms, predictive analytics like lifetime values, fraud detections, and classifications. The required outcome of the Estimator Tool is to allow the user to make an informed decision based on Dollar Value Profitability and Cost savings on wether creating a Regenerative Impact Project (i.e. Regenerative Agriculture, Reforestation, Biodiversity enhancement) and or switching a current status quo or resource extraction method or project toward becoming Regenerative. The student needs to become well and extensively researched on what constitutes a Regenerative Impact Project, what is required to qualify, what actions need to be taken, what considerations are in place etc. The user will enter required data into specified fields about their property, assets and project, SOME INPUT FIELDS: Current Property Value Size of property Continent and country Property location (google earth KML file of property borders) Ecosystem (grassland, forest, jungle, coastal, desert, other (allow for manual input)) Business (Agriculture, Grazing, Orchards, Reforestation, Other (allow for manual input)) Annual Profit Annual Costs Cost of Fertilizer Cost of Pesticides / chemicals Insurance Premium Then The Estimator Tool needs to factor in a few current and future values like: Property Value (based location, industry, sales) Geosatellite imagery Digital measurement, reporting and verification tech data (DMRV) Business Operational and Revenue value Current Profit margins Cost that could be reduced or removed if switched to Regenerative methods Natural Capital Value Payments for Ecosystem Services value Ecological and Climate Data in that specific region Risk Premium, i.e. Harvest, livestock or Crop insurance Value of possible Carbon Sequestration credits Value of possible Biodiversity credits Value of water or storm runoff credits Value of Mitigation Banking credits Value of United Nations SDGs Value of ESG Short, Medium and Long Term net positive value to surrounding ecosystem (how does this benefit the surrounding area, people, climate, food production, quality of life, clean soil, water, clean air etc.) The increased dollar value and quality of products that have been grown using regeneravitve methods regenerative methods require little or no fertilizer, little or no pesticides / chemicals regenerative methods require more intensive farming techniques that add costs ( for example, regenerative grazing requires mobile electric fences regeneraive agriculture requires better soil management,rotational crops, cover crop planting etc. ) equals === Regenerative Impact Assessment Score Cost of switching to regenerative, not switching to regenerative possible Profit with regenerative impact methods ESG score, UN SDGs met Short, medium, long term value to local ecosystem and population Impact Value We would like to collaborate with students to apply the latest artificial intelligence (AI) and machine learning (ML) techniques to create our A.I. dataset. Students will develop an AI / ML model related to any of the aforementioned applications. This will involve several different steps for the students, including: Conducting background research on our existing products and the dataset. Analyzing our current dataset requirements and implementing. Researching the latest AI / ML techniques and how they could be applied to our data. Developing an AI / ML model that provides unique outcomes or insights into our data. Providing multiple solutions that can be applied to solve the same problem.

Digital Marketing Strategy and Content creation for ECORISE.FINANCE

We want students to help us develop a digital marketing strategy and content creation to grow and engage our target market. We’d like to know how we can maximize different channels and what will work best for us. Our target market on the demand side is Impact Investors (and crypto investors) Our target market on the supply side is (potential) Regenerative Impact Projects The main questions we’d like students to help us answer are the following: How should we promote our company? What social media channels should we utilize? What budget is appropriate for advertising? What messaging should we use?