--- title: AgriSema Organization Card emoji: 🌾 colorFrom: green colorTo: yellow sdk: static pinned: false ---
# 🌾 AgriSema **NLP Multi-Lingual AI-Powered Agricultural Advisory for Kenyan Smallholder Farmers** [![Kenya](https://img.shields.io/badge/Location-Kenya-red?style=flat-square&logo=google-maps)](https://huggingface.co/AgriSema) [![Focus](https://img.shields.io/badge/Focus-AI4Good-green?style=flat-square)](https://huggingface.co/AgriSema) [![Languages](https://img.shields.io/badge/Languages-Kiswahili%20|%20Kikuyu%20|%20Kamba%20|%20Luo-blue?style=flat-square)](https://huggingface.co/AgriSema)

Bridging the digital and linguistic divide to secure Kenya's food future.
Providing personalized, real-time agricultural advice in local languages.

--- ## 🌍 Our Mission **AgriSema** is dedicated to solving the critical disconnect in Kenyan agriculture. While smallholder farmers are the backbone of the economy, they face declining soil health, climate volatility, and a lack of accessible expertise. We aim to democratize agricultural intelligence by breaking down two major barriers: 1. 🗣️ **The Language Barrier:** Advice is often unavailable in local dialects. 2. 📱 **The Digital Gap:** Advanced tech rarely reaches feature phone users. --- ## 🚀 Key Features Our ecosystem combines state-of-the-art AI with accessible interfaces to ensure no farmer is left behind. | **Feature** | **Description** | | :--- | :--- | | 🗣️ **Multi-Lingual NLP** | We are building models that process and generate queries in **Kiswahili, Kikuyu, Kamba, and Luo**, making expertise linguistically accessible. | | 📸 **Computer Vision** | Smartphone-based disease and pest identification to enable rapid diagnosis from field photos. | | ⚙️ **Personalized ML** | An engine that integrates weather APIs, soil data, and farm profiles to deliver hyper-local recommendations. | | 🤝 **Total Accessibility** | **PWA** for smartphone users (visuals, charts) & **USSD/SMS** for feature phone users (text-based advice). | --- ## 📂 Our Resources We are open-sourcing our efforts to contribute to the underrepresented area of African language NLP and AI for Food Security. ### 🧠 Models *Check back soon for our fine-tuned language models and computer vision classifiers.* * `AgriSema-NS-MAAT` *(Coming Soon)* * `Crop-Disease-Vision-v1` *(Coming Soon)* ### 📚 Datasets *We are curating high-quality datasets for agricultural contexts in local languages.* * `Kenyan-Agri-QA-Dataset` (Kiswahili/Vernacular) * `Local-Crop-Pest-Images` ### 🔭 Spaces (Demos) *Pilot applications coming soon...* --- ## 🎯 Envisioned Impact By providing the right information at the right time in the right language, we aim to drive: * 📈 **Higher Crop Yields:** Through better soil management and timely advice. * 🛡️ **Climate Resilience:** Alerts for unpredictable weather patterns. * 🌱 **Sustainable Practices:** Reducing pesticide misuse through accurate pest ID. ---

This project directly aligns with Kenya's focus on using AI for food security and contributes to the vital, underrepresented area of local-language NLP development.