STEMHer provides project‑based workshops that teach girls aged 8‑16 block‑based programming with Scratch and introductory AI concepts through robot‑game creation. The curriculum, aligned with international STEM standards, is delivered on‑site or via a cloud platform that offers lesson templates, real‑time code validation, and analytics for educators. Revenue is earned per session, supplemented by grants and corporate sponsorships.
Funding
Funding not disclosed
Founders
Product
Problem
Many girls worldwide lack early exposure to computational thinking and artificial‑intelligence concepts, resulting in a gender gap in STEM pipelines. Traditional classroom curricula often omit hands‑on coding experiences, limiting confidence and interest among young female learners.
Solution
STEMHer delivers structured, project‑based workshops that introduce girls to block‑based programming with Scratch and foundational AI ideas through interactive robot‑game creation. Sessions are co‑facilitated by trained teaching assistants who guide participants through iterative design, debugging, and concept reinforcement. The curriculum aligns with international STEM standards and incorporates real‑time visual feedback to accelerate skill acquisition. Workshops can be deployed on‑site at schools or NGOs, or delivered virtually via a cloud‑hosted learning portal that tracks progress and generates performance analytics for educators. By combining experiential learning with mentorship, STEMHer builds confidence and cultivates a pipeline of future female technologists.
Target Audience
Primary customers are primary and middle schools, as well as NGOs and community centers that serve girls aged 8‑16 and seek to enrich their STEM offerings. The solution also appeals to educators and program managers looking for turnkey, standards‑aligned coding experiences.
Features
- Block‑based Scratch environment customized with AI‑focused modules (e.g., decision‑tree logic, sensor simulation)
- Guided robot‑game projects that teach loop constructs, event handling, and basic machine‑learning concepts
- Cloud‑based curriculum management system with lesson‑plan templates, asset libraries, and automated progress dashboards
- Real‑time code validation and visual debugging tools that provide instant feedback to learners
- Teacher‑training toolkit enabling educators to independently run and assess workshops after a short onboarding
- Integration with partner NGOs and school LMS via RESTful APIs for seamless enrollment and reporting
- Data‑privacy compliant analytics that aggregate engagement metrics while preserving individual student anonymity