Organize and Streamline Grant Database

Details We are looking for students to help us build out our grant opportunity database. Currently the database is in Excel and has several tabs and functions. It needs to be organized and streamlined to make it more efficient and for us to find the right grant opportunity(ies) for clients. I would also like to receive notifications when a grant deadline is coming up (if possible). The main tasks we would like students to complete include: Reviewing the current database system and content/components Developing a plan to organize and streamline the data Executing the plan, whether that includes using the current program or suggesting something more advanced Completeing an outstanding information for the system Suggesting ways to maintain/update the system Training the staff on the new system

Non-Profit Database Building

We are an early-stage startup focused on building technology for non-profit organizations (NPOs). As part of our offering, we are building a database of NPO information from various sources. These sources will include pulling information directly from the websites of the non-profit organizations. As part of this project, we would like to prototype and test approaches for pulling data from a list of 150 websites. The following data should be collected from each website and saved in CSV format: Name Primary Location Leadership Team / Board Information Contact Email Contact Telephone Number Social Media Links (Twitter, Instagram, etc.) Mission Financials The student(s) will define the actual fields needed for this data and run a process to pull data from the provided list of URLs. Completion of this project should include Written overview of the process used that includes the tools considered, tools selected, any feedback on the how these tools worked, and lessons learned from the project. Detailed instructions for configuring the tools used. Infinite Giving will need the ability to re-run the process. CSV file for the 150 websites

Home Estimation analysis

Positions available: 3-4 students in 1 team or 4 students individually We are a technology company helping realtors find the dream homes for their clients. Our idea is to make searching for properties as customizable as possible. Finding out about the characteristics of a home is the subject of this project. Specifically, given the address of a home we want to find the characteristics of each property based on the map data. Map data can be obtained from open maps, municipality, or google maps. Given geolocation of some properties in the map, we want to know how far a property is to a given street. Given the nature of this work, the student will learn about image processing techniques and machine learning techniques. Requirements: - familiar with data processing concepts - familiar with classification problem solving (nice to have) - familiar with python Further information can be discussed under NDA.