PEST GUARD

Offline Pest ID & Pesticide Recommendations

PestGuard – an offline mobile application for iOS and Android that uses AI-powered object detection to identify pests and recommend effective pesticides, helping users protect crops and homes from pest damage.

About the Project

The client required a robust mobile solution that could work in offline environments, particularly for use in rural areas with limited internet access. The goal was to develop an app that allows users to identify pests using their smartphone cameras and recommend suitable pesticides based on the identified pest.

Additionally, the app would inform users where the recommended pesticide can be purchased. Synec partnered with the client to build a machine learning-powered app using object detection to identify pests with high accuracy. By implementing an intuitive recommendation system, the app assists farmers, gardeners, and household users in controlling pests effectively while functioning offline.

  • Custom Android Mobile App Development
  • Object Detection Models (CNN, SSD) Integration
  • UI/UX Design
  • Offline Functionality
  • Continuous Model Optimization and App Maintenance
  • UI/UX Design

Features

  • Pest Identification via Camera with AI Object Detection

    The core functionality of the app lies in its CNN-based Single Shot MultiBox Detector (SSD) model, which uses the phone’s camera to identify pests in real time. Users can scan an insect or pest, and the app quickly detects and classifies the pest using a trained object detection model. The detection process provides high accuracy even in low-light or challenging conditions.

  • Pesticide Recommendation System

    After identifying the pest, the app recommends the most effective pesticide for eliminating the specific pest. Each recommendation comes with details about the pesticide, including active ingredients, application methods, and usage instructions. The system ensures that the pesticide recommendations are targeted and safe for both crops and the environment.

  • Offline Functionality

    The app works completely offline, allowing users in rural areas without internet connectivity to still utilize its full features. All pest identification models and pesticide databases are stored locally on the device, ensuring that users can identify pests and receive recommendations even in the most remote locations.

UI/UX

Other Features

  • Vendor Location

    Find nearby pesticide vendors or contact suppliers directly for purchases, even offline.

  • Multi-Language Support

    Supports English and Tagalog languages, making it accessible to local and international users.

  • Simple Interface

    Easy navigation, ensuring users with minimal tech skills can identify pests effortlessly.

  • Scan History

    Save past pest scans and pesticide recommendations to track infestations over time.

  • Bookmark Pesticides

    Save favorite pesticides for quick access without needing to re-scan pests.

  • Custom Search

    Search for pesticides by pest or pest category for flexible, targeted solutions.

  • Safety Guidelines

    Provides detailed safety instructions for pesticide use, including dosages and precautions.

  • Push Updates

    Receive alerts for new pest models, pesticide info, and local deals on pest control products.

  • Pest Control Tips

    Access tips on environmentally friendly pest control and prevention methods.

Tech Stack

React Native for iOS and Android compatibility

Node.js for pesticide data and vendor management

TensorFlow Lite for deploying the trained SSD (Single Shot MultiBox Detector) model for object detection and classification

Firebase Realtime Database – Firebase Realtime Database is used for its ability to sync data instantly across all clients, ensuring real-time updates for attendance records.

GitHub for source code management and collaborative development

OpenCV for image preprocessing and enhancing pest detection accuracy

Figma for wireframing and Material Design for mobile interfaces

Firebase Cloud Messaging (FCM) for real-time updates and alerts

By leveraging these technologies, Synec developed a highly functional and user-friendly app that helps visitors to Isabela City navigate its tourist spots with ease, while also enhancing the local tourism industry.

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