Sansitech - AI Tinkerers - Conakry Hackathon
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Sansitech

Sansitech equips farmers with real-time IoT and AI to optimize irrigation, increase yields by 25%, and reduce operational costs.

2 members

Project Description

🌱 Sansitech — AI-Powered Smart Agriculture Platform

1. Clear and Concise Project Description

Sansitech is an intelligent agriculture monitoring and automation system that helps farmers make data-driven decisions in real time.

Farmers often rely on manual observation or delayed information to manage irrigation, detect fire risks, or monitor crop conditions. This leads to water waste, lower yields, and preventable losses.

Sansitech solves this by combining:

  • IoT field sensors
  • Cloud infrastructure
  • Artificial intelligence
  • Mobile and web dashboards

The system continuously collects environmental data (temperature, soil moisture, flame detection), analyzes it using AI models, and provides real-time recommendations and automated actions.

Core Objectives

  • Reduce water waste through intelligent irrigation
  • Increase crop yield using data-driven insights
  • Detect risks (e.g., fire) early
  • Lower operational costs
  • Make precision agriculture accessible and affordable

2. How We Address Judging Criteria

✅ Innovation

  • Combines IoT + AI + automation in one integrated platform
  • Moves beyond monitoring by adding predictive intelligence
  • Designed for emerging markets where precision agriculture tools are limited

✅ Technical Feasibility

  • Built using production-ready technologies
  • Real-time IoT communication (MQTT)
  • Scalable cloud backend
  • Modular hardware design
  • Mobile-first architecture

The system has already been prototyped and tested with working sensor nodes and a functional app.

✅ Real-World Impact

  • Targets water efficiency (up to 40% savings)
  • Aims to increase yields (up to 25%)
  • Reduces risk of crop loss due to fire or extreme conditions
  • Supports small and medium-sized farms

✅ Scalability

  • Cloud-native architecture
  • Modular sensor expansion (pH, rainfall, air quality)
  • Multi-field management via dashboard
  • AI models adaptable to different crops and climates

3. System Architecture Overview

Sansitech operates in four layers:

  1. IoT Layer — Field data collection
  2. Cloud Layer — Data storage & processing
  3. AI Layer — Analysis & recommendations
  4. Interface Layer — Farmer interaction & automation

4. Technologies and Tools Used

🔌 IoT & Hardware

  • ESP32 microcontroller
  • Soil moisture sensors
  • Temperature sensors
  • Flame detection sensor
  • MQTT protocol for lightweight real-time communication

☁️ Backend & Cloud Infrastructure

  • Supabase (PostgreSQL database + authentication + API)
  • MQTT broker for real-time data streaming
  • RESTful API endpoints
  • Secure data storage and field-based structuring

🧠 Artificial Intelligence

  • Python

  • Machine learning models for:

    • Irrigation timing prediction
    • Anomaly detection
    • Environmental trend analysis

Libraries used:

  • Scikit-learn
  • Pandas
  • NumPy

Models analyze historical and real-time sensor data to generate actionable recommendations.

📱 Mobile Application

  • Flutter (cross-platform development)
  • Real-time dashboard
  • Push notifications for alerts
  • Interactive data visualization

🖥️ Web Dashboard

  • Next.js
  • Data visualization components
  • Multi-field management interface

🔄 Communication Protocol

  • MQTT for IoT-to-cloud communication

    • Lightweight
    • Low bandwidth
    • Reliable for unstable rural connectivity

5. Current Development Status

✔ Functional IoT prototype
✔ Working mobile app with live data
✔ Backend connected to real-time sensor feeds
✔ Basic AI recommendation engine

In progress:

  • Advanced predictive modeling
  • Multi-field analytics dashboard
  • Automation triggers for irrigation systems
  • Additional environmental sensors

6. Why This Solution Is Feasible

  • Uses low-cost, widely available hardware (ESP32)
  • Built on scalable cloud infrastructure
  • Modular design allows incremental deployment
  • Cross-platform mobile app reduces deployment barriers
  • Designed to work in low-connectivity environments

7. Long-Term Vision

Sansitech aims to become a scalable smart farming platform across Africa and other emerging markets.

Our goal is to empower farmers with:

  • Data visibility
  • Predictive intelligence
  • Automated control
  • Sustainable resource management

Agriculture is becoming data-driven.
Sansitech makes that transition practical, affordable, and impactful. 🌍🌱

Prior Work

Orange Summer Challenge 2024

Team

Amadou Koulibaly Abou SOUMAH

Products & Tools

ESP32 microcontroller (low-cost Flame detection sensors Flutter (cross-platform framework developed by Google) Flutter enabled rapid UI development and deployment on multiple platforms from a single codebase. GitHub – Version control and collaboration MQTT broker – For real-time IoT data transmission MQTT protocol for lightweight real-time communication Next.js (framework maintained by Vercel) NumPy Pandas Postman – API testing Python REST APIs – For secure communication between frontend and backend Scikit-learn Soil moisture sensors Supabase significantly reduced backend setup time Supabase – Used for database management (PostgreSQL) Temperature sensors These tools allowed rapid prototyping of a working smart agriculture monitoring system. These tools were used to build the irrigation recommendation logic and anomaly detection system. Used for building the administrative dashboard and multi-field management interface. VS Code – Development environment Wi-Fi enabled device for sensor integration) and API generation authentication enabling us to focus on core features. ☁️ Backend & Cloud 📱 Mobile Development 🔄 Collaboration & Development Tools 🔌 Hardware & IoT 🖥 Web Dashboard 🧠 AI & Data Processing

Additional Links

https://sansi-tech.com/

Landing page

Summarizing URL...