Discover a range of final-year Mobile App projects developed using frameworks like Flutter, React Native, and Android Studio. These ready-to-use apps cover real-world use cases with beautiful UI designs and clean code—ideal for academic submissions, learning mobile development, or launching your own app idea.

To install and run the FitFlow Fitness App:

1. Ensure you have Flutter SDK (>=3.0.0) and Dart SDK (>=3.0.0) installed.
2. Install an IDE: Android Studio or VS Code with Flutter & Dart extensions.
3. Clone the repository:
   git clone https://github.com/ajayoneness/fitnessapp.git
4. Navigate into the project:
   cd fitnessapp
5. Fetch all dependencies:
   flutter pub get
6. Connect a device or start an emulator.
7. Run the app:
   flutter run
8. The app will launch with full functionality including auth, dashboard, workout planner, and nutrition tracker.

Note: No backend required — uses local storage (shared_preferences). Easy to extend with Firebase later.

<div >
  <h2>Overview</h2>
  <p>
    <strong>FitFlow</strong> is a modern, feature-rich, and scalable <strong>final year project in Flutter</strong> designed for computer science and IT students. Whether you're looking for a <strong>best Python project</strong> alternative in mobile development or a <strong>unique project for final year students</strong>, FitFlow delivers real-world application with clean architecture and advanced functionality.
  </p>

  <h3>🚀 Why This Project Stands Out?</h3>
  <p>
    FitFlow isn’t just another fitness app — it’s a full-stack mobile solution built with <strong>Flutter & Dart</strong>, ideal for showcasing technical depth in your <strong>final year college project</strong>. From user authentication to AI-driven insights, this project covers everything needed to impress examiners and recruiters alike.
  </p>

  <h3>✨ Key Features</h3>
  <ul>
    <li><strong>User Registration & Profile Management:</strong> Secure login, profile customization, goal setting (weight loss, muscle gain), and fitness level tracking.</li>
    <li><strong>Fitness Goals & Progress Tracking:</strong> Visualize progress with interactive charts, milestone tracking, and before/after photo uploads.</li>
    <li><strong>Workout Plans & Routines:</strong> Access pre-designed plans (HIIT, Cardio, Strength, Yoga) or create custom workouts with video guides.</li>
    <li><strong>Exercise Logging System:</strong> Track reps, sets, weights, rest timers, and add personalized notes.</li>
    <li><strong>Nutrition & Diet Tracker:</strong> Log meals, track macros (carbs, protein, fat), use a food database, and monitor water intake.</li>
    <li><strong>Smart Dashboard & Analytics:</strong> Real-time insights, weekly trends, achievement badges, and calorie burn graphs using <code>fl_chart</code>.</li>
  </ul>

  <h3>🎯 Applications</h3>
  <p>
    This project is ideal for:
  </p>
  <ul>
    <li>Students pursuing <strong>final year projects in B.Tech, BCA, MCA, or B.Sc IT</strong>.</li>
    <li>Developers looking for a <strong>best Flutter project</strong> with clean MVVM architecture.</li>
    <li>Anyone wanting to build a portfolio-worthy <strong>mobile health & fitness app</strong>.</li>
    <li>Startups seeking a MVP base for fitness SaaS products.</li>
  </ul>

  <h3>🔧 Technology Stack</h3>
  <p>
    Built using modern tools and libraries for performance and scalability:
  </p>
  <ul>
    <li><strong>Frontend:</strong> Flutter | Dart</li>
    <li><strong>State Management:</strong> Provider</li>
    <li><strong>Local Storage:</strong> shared_preferences</li>
    <li><strong>Data Visualization:</strong> fl_chart</li>
    <li><strong>Media Handling:</strong> image_picker</li>
    <li><strong>UI/UX:</strong> Google Fonts, Custom Animations, Responsive Layouts</li>
  </ul>

  <h3>🎓 Educational Value</h3>
  <p>
    This project helps students learn:
  </p>
  <ul>
    <li>Flutter app architecture (modular, scalable)</li>
    <li>Form validation & user input handling</li>
    <li>Local data persistence</li>
    <li>Chart integration and data visualization</li>
    <li>Reusable widgets and clean UI design</li>
    <li>Real-world project structuring for <strong>final year college project submission</strong></li>
  </ul>

  <div class="cta-box" style="background:#f0f8ff; padding:20px; border-radius:10px; margin:20px 0;">
    <h4>💡 Project Add-Ons (Optional)</h4>
    <p>While the <strong>source code starts at just ₹99</strong>, you can enhance your learning with:</p>
    <ul>
      <li><strong>Project Setup:</strong> We install & run the app on your system.</li>
      <li><strong>Source Code Explanation:</strong> 1-hour live session explaining each module.</li>
      <li><strong>Project Report:</strong> Complete documentation (Introduction, Objective, Methodology, Screenshots, Conclusion).</li>
    </ul>
    <p>Select these during checkout based on your needs!</p>
  </div>

  <h3>📌 Perfect For:</h3>
  <p>
    <em>Final year projects | Computer Science Projects | Mobile App Development | Unique projects for final year students | Best Python project alternatives | Capstone Projects</em>
  </p>
</div>

Download the FitFlow Flutter Fitness Tracker – a complete final year college project with source code starting at ₹99. Includes workout plans, nutrition tracking, progress analytics. Add project setup, code explanation & report. Best project for CS/IT students.

FitFlow Flutter Fitness App – Final Year Project with Source Code | CodeAJ Marketplace

A complete Flutter-based fitness tracking app with goal setting, workout routines, nutrition logging, and analytics — perfect for final year college projects, students, and developers. Source code available from ₹99. Add-ons: Project Setup, Code Explanati

A complete final year project in Flutter with workout planning, nutrition tracking, and progress analytics. Source code available from ₹99 on CodeAJ Marketplace.

FitFlow: Flutter Fitness Tracker

# Installation & Setup Guide

✅ Prerequisites:
- Flutter SDK (3.0+)
- Dart SDK (2.17+)
- Android Studio or VS Code
- Android/iOS Emulator or Physical Device

📥 Clone the repository:
git clone https://github.com/ajayoneness/professional_todo_app.git
cd professional_todo_app

📦 Install Dependencies:
flutter pub get

🛠️ Check Your Setup:
flutter doctor

▶️ Run the App:
flutter run

💡 Usage:
- Add Task: Tap the '+' FAB
- Edit/Delete: Use task menu
- Complete: Tick the checkbox
- View Analytics: Click chart icon in app bar
- Record Voice Note: Inside task dialog
- Use Pomodoro Timer: Timer icon in app bar

📱 Supported Platforms:
✔️ Android (API 21+)
✔️ iOS (iOS 11.0+)
✔️ Web (Audio limitations)
✔️ Desktop (Windows/Linux/macOS)

<h2>Professional Flutter Todo App – Final Year Project</h2>
<p>This <strong>AI-Enhanced Professional Todo App</strong> is a modern, full-featured productivity tool crafted using Flutter and Dart. It's the ideal final year project for students looking for a unique and impactful application that merges daily productivity with modern design and voice-driven capabilities.</p>

<h3>🚀 Project Features</h3>
<ul>
  <li><strong>Complete Task Management</strong> – Add, edit, delete, and complete tasks</li>
  <li><strong>Local Storage</strong> – Uses localstorage package for offline data persistence</li>
  <li><strong>Pomodoro Timer</strong> – Integrated focus timer to boost productivity</li>
  <li><strong>Voice Notes</strong> – Record and play task-related audio memos</li>
  <li><strong>Analytics Dashboard</strong> – Visualize productivity with graphs and charts</li>
  <li><strong>Smart Search</strong> – Advanced filtering based on tags, category, and priority</li>
  <li><strong>Modern UI</strong> – Clean Material Design interface with smooth animations</li>
  <li><strong>Responsive</strong> – Optimized for Android, iOS, Web & Desktop</li>
</ul>

<h3>📱 Applications</h3>
<ul>
  <li>Final Year Projects for B.Tech/BCA/MCA students</li>
  <li>Personal productivity & time management</li>
  <li>Professional task tracking and smart scheduling</li>
  <li>Flutter-based portfolio enhancement</li>
</ul>

<h3>🎓 Why Choose This Project?</h3>
<ul>
  <li>✅ Built with Flutter – Learn cross-platform mobile development</li>
  <li>✅ Implements core design patterns and architecture</li>
  <li>✅ Real-world productivity use case with AI-driven extensions</li>
  <li>✅ Includes analytics and charts—great for explaining to evaluators</li>
  <li>✅ Voice recording and smart UI features make it unique among final year submissions</li>
</ul>

<p>Looking to stand out with your <strong>final year college project</strong>? This app covers all the aspects: design, architecture, features, and scalability. Choose this if you're targeting <strong>the best python project alternatives</strong> in the mobile domain using Flutter!</p>

Download this smart Flutter Todo App project for your final year. Comes with analytics, Pomodoro timer, voice notes, and advanced productivity tools. Source code starts at ₹99.

AI-Enhanced Flutter Todo App | Final Year Project with Voice Notes, Pomodoro & Analytics

A smart, beautifully designed Flutter-based todo app featuring voice notes, analytics, Pomodoro timer, and advanced task tracking—perfect for final year projects and productivity apps.

Download AI-powered Flutter Todo App with analytics, Pomodoro timer, and voice notes. Best unique final year college project built using Flutter and Dart.

AI-Enhanced Flutter Todo App

# Prerequisites
- Flutter SDK installed
- Google Gemini API Key from https://ai.google.dev/

# Installation Steps
1. Clone the repository:
   git clone https://github.com/yourusername/code_assistant.git
   cd code_assistant

2. Install dependencies:
   flutter pub get

3. Add your Gemini API key:
   Open lib/utils/constants.dart and replace:
   static const String apiKey = 'YOUR_API_KEY_HERE';

4. Run the app:
   flutter run

<h2>Project Overview</h2>
<p>The <strong>AI Coding Assistant</strong> is an advanced Flutter application designed to provide smart coding assistance using Google's Gemini API. Whether you're a beginner or a pro, this AI-based tool helps you debug code, understand logic, and enhance code quality across multiple programming languages.</p>

<h3>Key Features</h3>
<ul>
  <li><strong>Ask Coding Questions</strong> – Get answers tailored to your selected language</li>
  <li><strong>Debug Code</strong> – Identify and fix bugs using AI</li>
  <li><strong>Explain Code</strong> – Receive comprehensive, line-by-line explanations</li>
  <li><strong>Improve Code</strong> – Get AI suggestions for clean and efficient coding</li>
  <li><strong>Multi-Language Support</strong> – Supports Python, JavaScript, C++, Java, and more</li>
  <li><strong>Beautiful UI</strong> – Dark mode, animations, markdown rendering, and responsive design</li>
</ul>

<h3>Applications</h3>
<ul>
  <li>Educational coding assistant for students and instructors</li>
  <li>Daily companion for developers seeking rapid solutions</li>
  <li>Debugging and code review support for open-source teams</li>
  <li>Real-time AI assistant in coding bootcamps and learning platforms</li>
</ul>

<h3>Why Choose This Project?</h3>
<p>This project combines the power of <strong>Flutter</strong> and <strong>Google Gemini</strong> to provide a seamless user experience. It’s perfect for developers who want a lightweight AI assistant on mobile or tablet devices without the complexity of cloud infrastructure.</p>

Download the AI Coding Assistant Flutter app that uses Google Gemini API to help you debug, explain, and improve code across multiple languages. Source code available

AI Coding Assistant App in Flutter using Gemini API | Debug & Explain Code

An AI-powered Flutter app that helps developers debug, explain, and improve code in multiple languages using Google's Gemini API.

CodeAJ

An AI-powered Flutter app that helps developers debug, explain, and improve code in Python, Java, C++, and more using Google Gemini API.

AI Coding Assistant with Gemini API

# STEP 1: Install Flutter SDK
- Visit: https://docs.flutter.dev/get-started/install
- Follow the installation guide for your OS (Windows, macOS, Linux).
- After installation, verify with:
  flutter doctor

# STEP 2: Set Up Your IDE
- Recommended: Install Android Studio or Visual Studio Code.
- Install Flutter and Dart plugins from the IDE extensions marketplace.

# STEP 3: Clone the Project
1. Download and extract the project ZIP file OR
2. Use Git (if applicable):
   git clone https://github.com/your-repo-url

# STEP 4: Connect a Device or Emulator
- Run an Android Emulator via Android Studio OR
- Connect a real Android device with USB debugging enabled.

# STEP 5: Install Dependencies
- Open the project in VS Code or Android Studio.
- Open the terminal in the root directory and run:
  flutter pub get

# STEP 6: Configure Google Gemini API
1. Go to https://makersuite.google.com/app
2. Get your API Key from the Gemini project dashboard.
3. In your project, navigate to `lib/config.dart` (or similar).
4. Paste your API key in the appropriate field:
   const String geminiApiKey = "YOUR_GEMINI_API_KEY";

# STEP 7: Run the Application
- Use the following command in the terminal:
  flutter run

# OPTIONAL: Build Release APK
- To build a release version for Android:
  flutter build apk --release

# Notes:
- Ensure you have a stable internet connection during setup.
- If errors occur, run:
  flutter clean
  flutter pub get

<h4>College AI Chat Bot - Smart Campus Assistance</h4>
<p>The College AI Chat Bot is an advanced, AI-powered virtual assistant designed to enhance the student experience. This chatbot is built using Flutter and integrated with Google Gemini API, providing students with instant access to campus-related information.</p>

<h3>Key Features:</h3>
<ul>
<li><strong>Library Information:</strong> Get details on available books, operating hours, and borrowing policies.</li>
<li><strong>Canteen Menu & Timings:</strong> Check daily menus, food availability, and opening hours.</li>
<li><strong>Book Availability:</strong> Search for books in the college library with real-time updates.</li>
<li><strong>Student Login System:</strong> Secure login for personalized responses and access to exclusive student services.</li>
<li><strong>AI-Powered Responses:</strong> Uses Google Gemini API to provide intelligent and accurate answers.</li>
<li><strong>Event Notifications:</strong> Stay updated with college events, deadlines, and announcements.</li>
<li><strong>Mobile App Integration:</strong> Accessible through an intuitive Flutter-based mobile application.</li>
</ul>

<h3>Applications:</h3>
<ul>
<li>Enhances student engagement by providing instant access to college resources.</li>
<li>Reduces workload on college staff by automating repetitive queries.</li>
<li>Improves accessibility and efficiency for students and faculty.</li>
<li>Works as a digital assistant for college-related inquiries.</li>
</ul>

Enhance student experience with the AI-powered College Chat Bot. Get instant access to library, canteen, book availability, and more. Built using Flutter & Google Gemini API.

College AI Chat Bot | Smart Campus Assistant Using Google Gemini API

A smart AI-powered chatbot for colleges that provides students with instant access to information about the library, canteen, books, and other campus facilities. It also includes a student login system for personalized responses.

An AI-powered chatbot for colleges that provides students with instant access to information about the library, canteen, books, and other campus facilities.

College AI Chat Bot

# Travel ChatBot – Setup & Installation Guide

# STEP 1: Install Flutter SDK
- Visit: https://docs.flutter.dev/get-started/install
- Download and install the Flutter SDK for your operating system (Windows, macOS, Linux).
- After installation, verify the setup by running:
  flutter doctor

# STEP 2: Set Up Your IDE
- Recommended IDEs: Android Studio or Visual Studio Code
- Install Flutter and Dart plugins/extensions from your IDE's marketplace.

# STEP 3: Extract the Source Code
- Unzip the provided project ZIP file.
- Open the extracted folder in your preferred IDE (e.g., VS Code).

# STEP 4: Install Dependencies
- Open the terminal inside your project directory.
- Run the following command to install required packages:
  flutter pub get

# STEP 5: Configure Google Gemini API
1. Visit https://makersuite.google.com/app
2. Sign in and create a new project to get your Gemini API key.
3. In the Flutter project, locate the API config file (commonly `lib/config.dart`).
4. Replace the placeholder with your API key:
   const String geminiApiKey = "YOUR_GEMINI_API_KEY";

# STEP 6: Run the Application
- Connect an Android device (enable USB debugging) or start an emulator.
- Use the terminal to run the app:
  flutter run

# OPTIONAL: Build a Release APK
- To generate a release build for Android deployment:
  flutter build apk --release

# Notes:
- This project is provided as a downloadable ZIP file only.
- A stable internet connection is required for package installation and API calls.
- In case of errors or failed builds, try:
  flutter clean
  flutter pub get

<div class="project-description">
  <p>
    Discover our innovative Travel ChatBot, designed to revolutionize the travel planning experience. Built with the latest in <strong>Flutter</strong> and <strong>Dart</strong> technology, this chatbot leverages the power of the <strong>Google Gemini API</strong> to deliver personalized travel recommendations and real‑time assistance.
  </p>
  
  <h2>Project Features</h2>
  <ul>
    <li><strong>Interactive Chat Interface:</strong> Engaging and user‑friendly design for seamless travel inquiries.</li>
    <li><strong>Real‑Time Recommendations:</strong> Uses Google Gemini API to fetch up‑to‑date travel information and suggestions.</li>
    <li><strong>Secure Login System:</strong> Integrated with local storage for secure user authentication and session management.</li>
    <li><strong>Customizable Options:</strong> Add‑ons such as Project Setup, Source Code Explanations, and Detailed Project Report available at additional cost.</li>
    <li><strong>Responsive Design:</strong> Optimized for mobile and web, ensuring an excellent user experience on any device.</li>
  </ul>
  
  <h2>Applications</h2>
  <p>
    This project is ideal for travel agencies, startups, and independent developers seeking to integrate AI‑driven travel assistance into their services. It is perfect for:
  </p>
  <ul>
    <li>Enhancing customer service with instant travel support</li>
    <li>Developing interactive travel planning apps</li>
    <li>Incorporating intelligent chat systems in travel websites</li>
    <li>Learning and exploring advanced chatbot development</li>
  </ul>
  
  <p>
    With competitive pricing starting at just <strong>₹299</strong> for the source code, plus optional services to tailor the project to your exact needs, this Travel ChatBot is a cost‑effective solution that does not compromise on quality.
  </p>
</div>

Explore our innovative Travel ChatBot project developed with Flutter, Dart, and Google Gemini API. Featuring a secure login system using local storage, it's the perfect solution for travel enthusiasts and developers.

Travel ChatBot using Flutter & Google Gemini API | CodeAJ Projects

A cutting‑edge Travel ChatBot built with Flutter, Dart, and powered by Google Gemini API. It offers a seamless travel experience with a secure login system using local storage.

Technology Used

Project Features

An innovative Travel ChatBot built with Flutter, Dart, and powered by Google Gemini API. It features a secure login system using local storage, ideal for travel agencies and developers.

Travel ChatBot using Flutter Dart and Google Gemini API

<p><strong>Overview:</strong> The Classroom Attendance System is designed to streamline student registration and automate the process of tracking attendance through webcam video analysis. Admins can easily register students, upload class videos, and automatically capture attendance from those videos, saving time and ensuring accuracy.</p>

<h2>Project Features:</h2>
<ul>
  <li><strong>Student Registration:</strong> Admins can register students by adding their name, student ID, phone number, email, and profile image in an easy-to-use interface.</li>
  <li><strong>Attendance Tracking:</strong> Admins can upload classroom videos, and the system will detect and recognize students based on face recognition technology, automatically marking their attendance.</li>
  <li><strong>Attendance Reports:</strong> After the attendance is captured, admins can download detailed reports in Excel or PDF format, showing which students were present, absent, or late.</li>
  <li><strong>Face Recognition Technology:</strong> Uses OpenCV for face detection and recognition, ensuring accurate attendance tracking through webcam videos.</li>
  <li><strong>Cross-Platform Support:</strong> Built with Flutter, the frontend works seamlessly across mobile and web platforms, allowing admins to manage attendance from any device.</li>
</ul>

<h2>Applications:</h2>
<p>This system can be used in schools, colleges, and universities to automate attendance-taking. It reduces administrative workload and ensures that attendance data is accurate and easily accessible in digital formats.</p>

<h2>Technology Used:</h2>
<ul>
  <li><strong>Flutter:</strong> Cross-platform framework for building the frontend (mobile and web).</li>
  <li><strong>Python:</strong> Backend development and video processing.</li>
  <li><strong>OpenCV:</strong> Image processing and face detection for attendance tracking.</li>
  <li><strong>Flask/Django:</strong> Web framework to power the backend of the application.</li>
  <li><strong>SQLite/MySQL:</strong> Database management system for storing student and attendance data.</li>
  <li><strong>Excel/PDF Libraries:</strong> Libraries to generate downloadable reports.</li>
</ul>

Automate classroom attendance with the Classroom Attendance System. Register students, capture attendance through webcam videos, and generate reports in Excel/PDF format. Built using Flutter for a seamless cross-platform experience.

Classroom Attendance System - Automate Attendance Tracking with Flutter & Webcam Video

A classroom attendance system that registers students and automatically tracks attendance through webcam video analysis. The system allows admins to upload classroom videos for automatic attendance tracking and provides downloadable reports in Excel / PDF

CodeAjay

Automate classroom attendance with webcam video analysis. Register students, capture attendance, and generate downloadable reports. Built with Flutter, Python, OpenCV, Flask, and Django.

Mobile App Projects

FitFlow: Fitness Tracker with Workout & Nutrition Planner – Final Year Project in Flutter

Flutter Todo App for Final Year Projects | Smart Task Manager with Voice Notes, Analytics & Pomodoro

AI Coding Assistant with Gemini API – Multi-Language Support & Debug Tool

College AI Chat Bot – Smart Campus Assistant Using Google Gemini API

Travel ChatBot using Flutter Dart and Google Gemini API

Attendance Using Classroom Webcam Video