HOTO equips Village Health Workers with a localized AI health companion, combining RAG-powered diagnosis, offline intelligence, and solar-powered reliability to deliver knowledge-enabled care at the last mile.
High mortality from preventable diseases persists because frontline workers lack the tools to act fast and accurately.
A localized Retrieval-Augmented Generation LLM trained on Zimbabwe-specific clinical data — delivering interactive symptom assessment, diagnosis, triage, and referral guidance.
An edge gateway with NVMe storage processes AI locally and syncs to the cloud when connectivity returns — ensuring uninterrupted access in network-poor villages.
Solar hubs at rural clinics, schools, and council offices power both VHW devices and the edge gateway 24/7 — no grid electricity required.
VHWs and community members without smartphones can report symptoms, request referrals, and receive health alerts via any basic feature phone.
Starting with a pilot in Guruve, HOTO is designed to scale.
Rural communities in Zimbabwe face persistently high mortality rates from preventable diseases — malaria, HIV, tuberculosis, and chronic illnesses — due to limited access to timely, quality healthcare.
In Guruve District alone, over 153,600 people are served by just one hospital, with most residents depending entirely on Village Health Workers who lack adequate tools, training, and real-time decision support. HOTO exists to change that.

HOTO is a mobile and web-based digital health application designed specifically for Zimbabwe’s Village Health Workers. It is downloadable from the Google Play Store and Apple App Store, and also accessible via browser on any device. For VHWs without smartphones, a USSD platform (*123#) ensures no one is left behind.
Powered by a localized AI engine trained on Zimbabwe’s clinical protocols and health data, HOTO gives every VHW the knowledge of a trained health professional — instantly, securely, and even without internet access.
Each VHW logs in using a unique QR code or login identifier verified through the Ministry of Health and Child Care (MoHCC) database — ensuring only authorised personnel access the system.
The VHW inputs patient symptoms. HOTO’s AI asks clarifying questions and returns step-by-step diagnostic support, triage recommendations, and treatment guidance aligned with Zimbabwe’s clinical protocols.
HOTO automatically generates a referral summary sent to the nearest clinic or hospital. All data syncs to the cloud when connectivity returns, ensuring continuity of care.
A localized RAG LLM trained on Zimbabwe-specific clinical protocols. Supports symptom assessment, disease diagnosis, treatment, triage, and referral guidance grounded in local health data.
HOTO engages VHWs through clarifying questions. If a patient presents with fever and low appetite, HOTO may ask: “Are they also experiencing diarrhoea?” — improving diagnostic accuracy step by step.
A local edge gateway with NVMe storage processes data and hosts AI models offline. Clinical protocols and outbreak alerts remain accessible even with zero connectivity, syncing when available.
Automatically generated referral summaries sent to local clinics or hospitals, with tracking for continuity of care. Includes guidance on which patients to treat locally versus escalate.
VHWs can take notes and track cases by category, location, and count — enabling comprehensive data collection, better record-keeping, follow-up, and district health surveillance.
Real-time alerts on trending diseases or outbreaks in the area or neighbouring regions — supporting proactive community education and preventive measures.
On-device training resources for VHWs, accessible offline — covering disease management, clinical protocols, and community health education. Updated when the device syncs.
Group chat functionality enables VHWs to seek advice and share insights with peers and supervisors — fostering knowledge sharing and reducing isolation in remote settings.
Dial *123# from any feature phone to access health info, report symptoms, or request referrals — no smartphone needed. Implemented with Econet, NetOne, and Telecel via POTRAZ.
Our project aims to improve universal healthcare outcomes and reduce mortality from preventable diseases in Guruve district by addressing critical gaps faced by Village Health Workers. We are developing a localized Retrieval-Augmented Generation (RAG) LLM with a user-friendly interactive interface — providing improved and faster diagnosis support by leveraging Zimbabwe-specific training materials, including information on nearby clinics, symptom assessment, disease diagnosis, treatment, referral, and triage guidance.
The system also provides alerts and notifications on trending diseases or outbreaks in the area or neighbouring regions, supporting proactive community education and preventive measures. VHWs can take notes and track cases by category, location, and count, facilitating comprehensive data collection, better record-keeping, and follow-up.
Ongoing work includes refining the outbreak alert integration, enhancing offline performance, and optimising user experience through field feedback. Future iterations will leverage AI to enable VHWs to interact in the local language, Shona, further enhancing accessibility and usability across rural communities.
To ensure reliable operation in the low-connectivity environment of Guruve, a solar-powered hub provides a sustainable energy source supporting an edge gateway with NVMe storage for local processing and a cloud integration layer for data synchronisation whenever connectivity is available. This hybrid setup balances speed, privacy, and accessibility — making advanced health intelligence available at the last mile.
The solar system powers both the hub and VHW devices, ensuring 24/7 access to AI-driven health support and empowering VHWs to work effectively without worrying about battery or electricity constraints. This allows the VHW to function offline with cached data, ensuring continuous access to AI-driven health support even in low-connectivity areas.
“By combining near real-time guidance, data tracking, alerts, collaboration, and offline functionality, the interface strengthens rural healthcare capacity and improves overall health outcomes in Zimbabwe.”
— HOTO Project Team, BayFive TechnologiesFaster, more accurate disease identification at community level — reducing the gap between symptom onset and treatment for malaria, HIV, TB, and chronic conditions.
Timely referrals and evidence-based treatment guidance directly reduce mortality from diseases that are manageable when caught early.
Structured case tracking feeds district and national surveillance systems — enabling evidence-based resource allocation and outbreak response.
Better tools reduce burnout and improve retention. HOTO makes the VHW role a desirable, high-impact position within rural communities.
Communities with faster, more informed care are more likely to engage with health services early — reversing the decline seen in underserved rural areas.
Improved collaboration between MoHCC, ICT partners, and telecom operators — building the foundation for a sustainable national digital health platform.
HOTO is designed and developed by BayFive Technologies — a multidisciplinary technology team combining expertise in AI engineering, software development, biotechnology, research sciences, and renewable energy infrastructure.
The team brings together AI and software engineers leading the design and development of the AI-driven app, biotechnology and research science experts championing stakeholder engagement and community health needs, and an energy engineer responsible for designing the solar-powered hub.
Our impact is made possible by this multi-skilled foundation — ensuring seamless integration, offline functionality, user-friendly interfaces, and a reliable energy backbone, all tailored for Village Health Workers in Zimbabwe.
HOTO directly contributes to improved community healthcare, disease surveillance, and universal health coverage — supporting Zimbabwe’s National Development Strategy and the UN’s global well-being goals.
“HOTO is more than a mobile app ; it is a digital health companion for Zimbabwe’s frontline workers. By equipping VHWs with intelligent, solar-powered, and offline-capable tools, HOTO brings AI-driven healthcare to the last mile, ensuring that every Zimbabwean — no matter where they live — can access quality healthcare on time, every time.”
We seek the support and partnership of the Government of Zimbabwe, the Ministry of Health and Child Care, the Ministry of ICT, and development partners to pilot, refine, and scale this transformative solution nationwide.
Everything you need to know about HOTO — for communities, health workers, partners, and government.
For health facilities, district offices, NGOs, clinics, and government bodies. We review all applications within 5 working days.
HOTO is built by a passionate multidisciplinary team. We’re looking for skilled contributors who believe technology can transform rural health in Zimbabwe and beyond.
PWA, edge systems, AI integration, USSD
Clinical protocol review and validation
Local health data, model training, evaluation
Field insights, needs assessment, documentation
On-ground testing, VHW feedback, usability