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Grass is a smart mobile application designed to transform modern agriculture by offering AI-powered recommendations to farmers and agricultural professionals. With the global population rising and natural resources becoming increasingly scarce, there’s a critical need for intelligent systems that improve crop productivity, ensure sustainability, and reduce waste. Grass addresses these challenges by providing real-time crop recommendations, plant disease detection, and smart data-driven insights, all from a single, user-friendly mobile platform.

Why Grass?

Traditional farming methods often lack efficiency due to limited data, climate variability, and unpredictable soil conditions. Grass leverages Machine Learning (ML) and Computer Vision to make farming smarter, more accurate, and future-ready. This solution empowers users—especially farmers—with personalized crop suggestions, disease prevention advice, and ongoing support powered by AI.

Key Features and Functional Requirements

1. User Management

• Account Registration & Login: Secure sign-up and sign-in via email and password.

• Profile Management: Users can view and edit their agricultural data history.

• Admin Dashboard: Allows role management and data control to maintain security and system integrity.

2. Crop Recommendation System

• Input Soil Data: Enter soil pH, moisture, and nutrient levels.

• AI-Based Analysis: Uses a Decision Tree algorithm to analyze soil characteristics and environmental factors.

• Smart Suggestions: Recommends the most suitable crops along with optimal planting conditions and timing.

• Dynamic Updates: Adjusts recommendations in real time based on new data.

3. Plant Disease Prediction

• Image Upload: Users can upload images of diseased leaves or plants.

• CNN-Based Diagnosis: Utilizes Convolutional Neural Networks to identify plant diseases.

• Treatment Guidance: Provides detailed information on symptoms, causes, and actionable treatments.

• Admin Tools: Admins can update the disease library to keep predictions relevant and up-to-date.

4. Data & Analytics

• Real-Time Sync: Uses Firebase for fast data storage and retrieval.

• Admin Dataset Management: Enables dynamic updates of crop and disease datasets.

• Usage Reports: Helps track trends, system performance, and improve future recommendations.

5. User Interface & Usability

• Flutter-Based Cross-Platform UI: Ensures responsive design on Android and iOS.

• Guided Forms: Streamlines the data input process with structured forms and prompts.

• Visual Feedback: Presents results in visually intuitive formats including charts, images, and text.

• Error Handling: Real-time alerts for data input errors or upload issues.

Behind the Tech: Algorithms & Architecture

1. Machine Learning Techniques

• Decision Trees: For intelligent crop recommendation.

• CNN (Convolutional Neural Networks): For high-accuracy disease prediction based on plant image inputs.

• Data Normalization & Cleaning: Ensures high-quality inputs for model training and predictions.

• Model Training: Uses updated agricultural datasets for better prediction accuracy over time.

2. Technologies & Frameworks

• Flutter: Cross-platform UI development

• Firebase: Authentication, real-time database, and cloud storage

• Python: Backend processing and ML algorithm integration

• TensorFlow/Keras: For model development and deployment

• OpenCV & Torchvision: For image preprocessing and plant disease detection

• Scikit-Learn: For classic ML tasks like classification and decision tree modeling

App Architecture & Integration

Grass is built using a modular multi-tier architecture that ensures smooth communication between the frontend, backend, and AI components.

Mobile App (Client Layer)

• Built using Flutter for responsive design

• Integrates Firebase Authentication

• Uses Room SQLite for local caching and offline mode

• Supports secure image uploads and soil data input

Backend Services (Processing Layer)

• Python-based backend handles logic for ML predictions

• Communicates with Firebase for real-time syncing

• Ensures scalable deployment and easy maintenance

ML/AI Engine (Model Layer)

• Pre-trained CNN models using TensorFlow/Keras for plant disease recognition

• Decision Tree models for crop recommendation

• Real-time inference capabilities with low latency

In an increasingly connected digital world, cyber threats continue to evolve at an alarming rate. With phishing attacks and malicious links becoming more sophisticated, there is an urgent need for intelligent, real-time protection systems. That’s where this AI and Machine Learning-powered Malicious URL Detection System comes into play—a cutting-edge solution designed to help users stay protected from online threats before they strike.

This project is a robust mobile and backend system developed using modern technologies like Flask (Python), TensorFlow, Firebase, and Flutter, with a core focus on real-time threat detection, speed, security, and usability.

Project Goals

The primary objective of this project is to safeguard users from phishing, malware, and other cyber threats by analyzing URLs in real-time using artificial intelligence and machine learning models. It empowers users with instant threat detection, historical scan tracking, and cybersecurity education.

Key Features & Functionalities

URL Safety Analysis

• Real-Time Detection: Analyze links using a trained LSTM model to detect phishing, malware, and suspicious patterns.

• AI-Based Classification: Uses a deep learning model trained on malicious and safe URL datasets for high accuracy and fast inference.

Scan Results & Insights

• Detailed Scan Feedback: Displays if the URL is safe or malicious, with context on detected risks.

• Scan History: Users can view their previously scanned links with timestamps, helping them stay aware of recurring threats.

Instant Notification Alerts

• Users are immediately notified if a link is classified as dangerous, preventing potential harm before any interaction.

Mobile Application Design

Built with a modern Android architecture, the mobile app is user-centric and secure:

Security-Focused Login

• OAuth 2.0 & JWT Authentication

• Firebase for credential management

• Encrypted session storage

Intuitive User Interface

• URL submission with regex validation

• History view powered by SQLite (Room)

• URL caching with LRU policy for speed

• Dark/light themes and accessible UI

Machine Learning & Model Deployment

LSTM-Based Detection Engine

• Bidirectional LSTM Model with ONNX runtime for performance

• Achieves 98.4% F1-score using datasets from PhishTank and VirusTotal

• Handles requests in 320ms on CPU, 85ms on GPU

Preprocessing & Tokenization

• Custom tokenizer supports Unicode-safe encoding

• Sequences converted for LSTM input with max length of 200

Model Serving

• Deployed using TensorFlow Serving over gRPC

• Supports async requests via Flask API

Backend Architecture

A multi-tier microservices architecture ensures scalability and high performance:

Flask API Gateway

• Blueprint routing and rate limiting (100 req/IP/hr)

• Input sanitization with Bleach to prevent XSS/SQLi

• Secure API request handling using HMAC verification

API Endpoints

• POST /api/v1/scan: Accepts a URL and returns classification

• GET /api/v1/history: Fetches user’s scan history

Security Features

• HTTPS encryption for all client-server communication

• JWT-based session management

Technical Stack

• Frontend (Mobile): Flutter

• Backend API: Flask (Python)

• Authentication: Firebase, OAuth 2.0, JWT

• Machine Learning: TensorFlow, LSTM, ONNX

• Storage: Firebase, SQLite

• Communication: REST + gRPC

Project Overview:

Tmasha is a web-based platform designed to streamline the process of booking tourism-related events, hotel rooms, restaurant reservations, and more. With a user-friendly interface, it simplifies the booking process for customers and provides robust management features for vendors and admins. The platform supports multi-role functionality, where users, vendors, and admins each have their own dashboards and distinct features tailored to their specific needs.

Key Features:

1. Multi-Role Access:
   • Admin Role:

     • Full control over the platform, including the management of vendors, users, and content.

     • Vendor approval management, allowing admins to review and approve vendor applications.

     • Access to detailed reports and analytics (e.g., booking statistics, user behavior, financial reports).

     • Integration with a CRM system for customer relationship management and marketing.

   • Vendor Role:

     • Dashboard for vendors to manage their listings (hotels, events, restaurants).

     • Subscription management where vendors can select the appropriate subscription plan.
     • Payment gateway integration for easy subscription payment (Paylink.sa).
     • Ability to add, edit, and remove their bookings and events.
     • View and manage their booking history and customer interactions.
   • Normal User Role:

     • Simple, intuitive dashboard for users to browse available events, hotels, restaurants, and more.

     • Ability to make bookings and view booking history.
     • Easy search and filter functionality to find the desired services based on location, type, availability, etc.
     • Option to track booking status (pending, confirmed, etc.).
2. Vendor Subscription System:

   • Vendors can choose from different subscription plans based on their business size and needs.

   • Subscription plans are integrated with a secure payment gateway (Paylink.sa) for easy processing.
   • Admin has control over vendor plans, including renewals and cancellations.
3. Vendor Approval Workflow:

   • New vendor registrations are set to “pending” until the admin reviews and approves them.

   • Admin can view all pending vendor applications and make decisions based on criteria.
   • Automatic email notifications are sent to vendors when their application is approved or rejected.
4. Payment Integration (Paylink.sa):

   • The platform integrates seamlessly with Paylink.sa, allowing vendors to pay for their subscription plans via a secure payment gateway.

   • The system tracks payments and updates vendor statuses accordingly.
5. CRM Integration:

   • The platform is integrated with a Customer Relationship Management (CRM) system, enabling admins and vendors to manage customer information and interactions efficiently.

   • CRM helps with marketing, customer communication, and tracking customer behavior.

6. Booking Management System:

   • Users can book hotels, restaurants, and events, and view the status of their bookings.

   • Vendors can manage available dates, room types, services, and availability for bookings.

   • Admins can manage the entire booking system and handle any conflicts or issues.

7. Search and Filter Functionality:

   • Advanced search options for users to filter results based on location, type, price, ratings, and more.

   • Vendors can update and manage their listings to ensure accurate information is displayed to users.

8. Admin Control Panel:

   • Comprehensive dashboard to monitor the overall performance of the platform.

   • Admin can approve/reject vendors, view financial reports, and manage user accounts.
   • Admin has access to all booking data and can intervene in case of issues.
   • Admin can manage site-wide content, including promotional material, terms, and conditions.
9. Responsive and User-Friendly UI:

   • The website is fully responsive, ensuring a seamless experience on both desktop and mobile devices.

   • The user interface is designed to be intuitive and easy to navigate, offering an optimized experience for all roles.
10. Security Features:

    • SSL Encryption for secure data transmission.

    • Role-based access control to ensure that users, vendors, and admins only have access to their designated sections.
    • Regular security updates and patches to protect user data and financial transactions.
11. Additional Features for Improved User Experience:
    1. Real-Time Notifications: Users and vendors receive notifications regarding their booking status, subscription renewals, and upcoming events.
    2. Email Notifications: Automated emails for bookings, payments, and vendor application statuses.
    3. Review and Rating System: Users can leave reviews and ratings for the events, hotels, and restaurants they book, helping to guide other users in their decisions.
    4. Multi-language Support: Allow users and vendors to interact in their preferred language, improving accessibility for global customers.
    5. Advanced Analytics for Vendors: Vendors could have more detailed analytics on customer behaviors, booking trends, and financials to help them make informed decisions.
    6. Promotions and Discount Codes: Allow vendors to offer special promotions and discounts, which users can apply at checkout.

Project Technologies and Tools Used:

• PHP (Laravel) – Backend development
• Vue.js – Frontend development
• MySQL – Database management
• Paylink.sa – Payment gateway integration
• VPS – For Hosting

Project Overview

Engfull is a cross-platform educational platform that merges gamification with English language learning, offering an engaging and personalized experience for learners of all levels. The project is designed to make language acquisition fun, adaptive, and accessible through mobile and web platforms.

Built with performance, scalability, and security in mind, Engfull supports real-time multiplayer games, dynamic content delivery, and subscription-based access — all managed from a powerful backend dashboard.

Key Features

• Gamified Learning Experience: Boost your English proficiency through exciting mini-games that target vocabulary, grammar, spelling, and comprehension.

• Personalized Challenges: Adaptive exercises and quizzes that adjust to the user’s level, designed to encourage progression and retention.

• Mobile App (iOS & Android): Fully featured app built with Flutter, supporting in-app purchases, real-time games, and smooth offline support.

• Dynamic Web Application: Laravel-powered backend with custom admin and content creator dashboards, multi-auth, and full user management.

• Secure Payment Integration: Seamless subscription management via Tap Payment Gateway for both mobile and web users.

• Robust Security Measures: Includes WAF protection, Google reCAPTCHA, IP rate-limiting, tokenized APIs, and DDoS prevention.

• Real-Time Features & Analytics: Firebase integration for multiplayer games, real-time database, FCM push notifications, and analytics tracking to monitor performance and crash reports.

• Multi-Role Authentication: Separate login and access control for end users and content creators, each with dedicated dashboards.

• Admin Dashboard: A comprehensive control panel to manage users, content, categories, games, subscriptions, and more.

• Creator Dashboard: A dedicated dashboard for content creators to upload learning materials, create exercises, track engagement, and manage student interactions — empowering educators and contributors.
• Group Chats for Each Creator: Interactive group chat rooms where learners can engage with their chosen creators and fellow students, ask questions, receive updates, and build a learning community in real-time.

Technologies Used

• Backend: PHP, Laravel.
• Database: MySQL, Firebase Realtime Database.
• Cloud: Firebase.
• Apps: Flutter (IOS, Android).
• Security: Google reCAPTCHA, WAF, IP Tracking, Token Auth, Rate Limiting
• Others: FCM Notifications, Firebase Analytics, RESTful API, Multi-auth.