3 09 06 SMART objectives
Chat GPT version
| # | Proposal Title | Objective (quoted) | Specific | Measurable | Achievable / Assumptions | Relevant | Time-Bound |
|---|---|---|---|---|---|---|---|
| 1 | Apopo – Sniffers | "Support 1–3 of Apopo’s mission using sniffer animals with geo-data, physio- and enviro-monitoring, and emerging tech" | Select 1–3 mission areas (e.g. mine detection, TB, wildlife trade) | # of missions supported, # of animals trained/instrumented, data accuracy % | Apopo collaboration and access to handlers; feasible sensor setup | Strengthens animal-based humanitarian detection | Initial prototype and data trial within 12 months |
| 2 | Dog & Cat Nutrition – Crowd-Sourced Data Collection | "Collect crowd-sourced data to contribute to a LLM or other analysis using emerging tech" | Gather pet diet, health, and behavior data via surveys/app | # of users, # of submissions, consistency of entries | Partnership with vets or pet influencers; secure platform | Improves pet health knowledge base and industry data quality | Beta app launch by 6 months; dataset of 10k entries by 12 months |
| 3 | OpenExo – Open-Source Modular Exoskeleton | "Collaborate with SweetBio for diabetes wound care and/or Dr. Karl Zelik for scoliosis support" | Define pilot use (mobility aid or wound care assist) | # of prototypes, success metrics in lab trials | Access to medical expertise, 3D-print or modular materials | Aligns with human health & assistive tech innovation | MVP design within 9 months; test phase in Year 2 |
| 4 | Micro-location for Apopo | "Support Apopo’s mission to find landmines using sniffer animals with geo-data" | Integrate micro-location or UWB tracking for animal accuracy | Precision level (m), # of test runs, % reduction in search area | Access to GPS/UWB devices and Apopo test fields | Directly supports life-saving detection precision | Develop prototype within 9 months; field-test in 1 year |
| 5 | CodeCrew – Job Readiness Tracker App | "Provide better info and timeline for students to be interview- and application-ready starting in Module 1" | Outline job readiness steps and milestones in app | # of students completing prep, job placement % | CodeCrew adoption and data access | Boosts job readiness and post-graduation outcomes | Launch pilot by next cohort (3–6 months) |
| 6 | Outdoor Afro – Memphis Boost | "Showcase Memphis’ outdoor and health resources to the African American community by boosting Memphis content and ratings" | Collect local data, improve app listings & visuals | # of Memphis listings, app engagement, content views | Collaboration with Outdoor Afro + local partners | Promotes outdoor equity and regional health | Memphis module live within 6 months; update quarterly |
| 7 | Zooniverse – Open Research Extension | (Objective TBD, aligns with citizen science and data use) | Enable data labeling or AI support for wildlife/ecology projects | # of users contributing, # of datasets tagged | Zooniverse API or project access | Expands citizen science and AI-based conservation | Pilot by 9–12 mo |
Copilot version (formatting hidden in response)
| Proposal | Objective (The what) | Specific (S) | Measurable (M) | Achievable (A) | Relevant (R) | Time-bound (T) |
|---|---|---|---|---|---|---|
| Proposal ONE (APOPO - Sniffer BEHAVIOR) | Develop and pilot a Proof-of-Concept (PoC) micro-location and physiological monitoring system for a team of APOPO sniffer animals to precisely map their search paths and performance metrics. | Develop a PoC system integrating geo-data and physio-sensors. | Binary: PoC is successfully developed and piloted. Metrics (precision/accuracy) are implied. | Yes, a PoC is a manageable initial project scope. | Directly supports APOPO's operational efficiency and mission. | Missing: No defined deadline for PoC completion. |
| Proposal TWO (Pet Nutrition) | Build a Minimum Viable Product (MVP) data collection platform to successfully gather crowd-sourced feeding, health, and behavioral data for a minimum of 500 dogs and/or cats over a 3-month period. | Build an MVP data platform. | Quantified: Gather data for 500 pets. | Yes, crowd-sourcing a manageable number of users is feasible for an MVP. | Directly provides a structured dataset for LLM analysis in pet nutrition. | Quantified: 3-month period. |
| Proposal THREE (OpenExo) | Develop a functional software module/library to support one defined biomechanical function of the OpenExo, targeting either diabetes wound care support or scoliosis motion guidance. | Develop one functional software module for a specific function (e.g., motion control). | Binary: Module is functional and tested (implied). | Yes, developing one module is a focused, manageable task. | Directly contributes code to the open-source OpenExo project, leveraging university resources. | Missing: No defined deadline for module completion. |
| Proposal FOUR (Micro-location for APOPO sniffers and mines) | Design and build a prototype micro-location hardware and software system capable of recording an animal's position with sub-centimeter accuracy in a controlled test environment, and integrate this data with a basic mapping interface. | Build a prototype system with hardware and software for positional tracking. | Quantified: Must achieve sub-centimeter accuracy. | Yes, achieving this precision in a controlled test environment is feasible. | Directly addresses the critical need for precise location data in demining/detection. | Missing: No defined deadline for prototype completion. |
| Proposal FIVE (Code Crew App) | Develop and launch an MVP mobile/web application providing a module-by-module job search timeline, achieving a 90% student engagement rate within the first cohort. | Develop an MVP app with job search timeline and tracking tools. | Quantified: 90% student engagement rate. | Yes, a targeted MVP launch and high engagement within a specific program is feasible. | Directly improves student job readiness and placement rates for the program. | Quantified: Within the first cohort (a strong, specific time constraint). |
| Proposal SIX (Outdoor Afro app) | Implement a data aggregation and initial content generation tool that utilizes web scraping and community feedback to populate the Outdoor Afro app with a minimum of 20 high-quality, verified Memphis outdoor resource listings and an initial content-based rating. | Implement a tool and populate the app with resource listings. | Quantified: Minimum of 20 verified resource listings. | Yes, scraping and curating 20 listings is a focused, achievable task. | Directly supports the mission of promoting outdoor resources to the African American community in Memphis. | Missing: No defined deadline for implementation or content population. |