[Student organizer] 🎯

Basic Details

Team Name: Rover

Team Members

• Member 1: Nazrin Sara - Aisat

Hosted Project Link

Project link

Project Description

Web based study planner focusing mainly on last minute exam preparation

The Problem statement

Students often procrastinate and panic in the last moment. Especially not knowing where to start, and how to effeciently plan and prepare for exam

The Solution

AI generated quick study plans, focus session and personalised study environment

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Technical Details

Technologies/Components Used

For Software:

• Languages used: JavaScript, CSS, HTML
• Tools used: VS Code, Git

For Hardware:

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Features

List the key features of your project:

• Feature 1: Last minute study planner
• Feature 2: To-do task manager
• Feature 3: Focus timer
• Feature 4: Offline motivation system
• Feature 5: Custom Study Environment

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Implementation

For Software:

Installation

git clone https://github.com/Nazrin191181/Tinkerhack
cd smart-campus-recruitment-port

Run

* Directly: Open the index.html file in any modern web browser.
* Using a Local Server (Recommended): If you have VS Code, use the Live Server extension, or run:

# Using Python (if installed)
python -m http.server 8000

# Or using Node.js (if installed)
npx serve 

For Hardware:

Components Required

[List all components needed with specifications]

Circuit Setup

[Explain how to set up the circuit]

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Project Documentation

For Software:

Screenshots (Add at least 3)

 Add caption explaining what this shows

 Add caption explaining what this shows

 Add caption explaining what this shows

Diagrams

System Architecture:

Explain your system architecture - components, data flow, tech stack interaction

Application Workflow:

Add caption explaining your workflow

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For Hardware:

Schematic & Circuit

 Add caption explaining connections

 Add caption explaining the schematic

Build Photos


 List out all components shown

 Explain the build steps

 Explain the final build

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Additional Documentation

For Web Projects with Backend:

API Documentation

Base URL: https://api.yourproject.com

Endpoints

GET /api/endpoint

• Description: [What it does]
• Parameters:
  • param1 (string): [Description]
  • param2 (integer): [Description]
• Response:

{
  "status": "success",
  "data": {}
}

POST /api/endpoint

• Description: [What it does]
• Request Body:

{
  "field1": "value1",
  "field2": "value2"
}

• Response:

{
  "status": "success",
  "message": "Operation completed"
}

[Add more endpoints as needed...]

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For Mobile Apps:

App Flow Diagram

Explain the user flow through your application

Installation Guide

For Android (APK):

1. Download the APK from [Release Link]
2. Enable "Install from Unknown Sources" in your device settings:
   • Go to Settings > Security
   • Enable "Unknown Sources"
3. Open the downloaded APK file
4. Follow the installation prompts
5. Open the app and enjoy!

For iOS (IPA) - TestFlight:

1. Download TestFlight from the App Store
2. Open this TestFlight link: [Your TestFlight Link]
3. Click "Install" or "Accept"
4. Wait for the app to install
5. Open the app from your home screen

Building from Source:

# For Android
flutter build apk
# or
./gradlew assembleDebug

# For iOS
flutter build ios
# or
xcodebuild -workspace App.xcworkspace -scheme App -configuration Debug

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For Hardware Projects:

Bill of Materials (BOM)

Component	Quantity	Specifications	Price	Link/Source
Arduino Uno	1	ATmega328P, 16MHz	₹450	[Link]
LED	5	Red, 5mm, 20mA	₹5 each	[Link]
Resistor	5	220Ω, 1/4W	₹1 each	[Link]
Breadboard	1	830 points	₹100	[Link]
Jumper Wires	20	Male-to-Male	₹50	[Link]
[Add more...]

Total Estimated Cost: ₹[Amount]

Assembly Instructions

Step 1: Prepare Components

1. Gather all components listed in the BOM
2. Check component specifications
3. Prepare your workspace Caption: All components laid out

Step 2: Build the Power Supply

1. Connect the power rails on the breadboard
2. Connect Arduino 5V to breadboard positive rail
3. Connect Arduino GND to breadboard negative rail Caption: Power connections completed

Step 3: Add Components

1. Place LEDs on breadboard
2. Connect resistors in series with LEDs
3. Connect LED cathodes to GND
4. Connect LED anodes to Arduino digital pins (2-6) Caption: LED circuit assembled

Step 4: [Continue for all steps...]

Final Assembly: Caption: Completed project ready for testing

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For Scripts/CLI Tools:

Command Reference

Basic Usage:

python script.py [options] [arguments]

Available Commands:

• command1 [args] - Description of what command1 does
• command2 [args] - Description of what command2 does
• command3 [args] - Description of what command3 does

Options:

• -h, --help - Show help message and exit
• -v, --verbose - Enable verbose output
• -o, --output FILE - Specify output file path
• -c, --config FILE - Specify configuration file
• --version - Show version information

Examples:

# Example 1: Basic usage
python script.py input.txt

# Example 2: With verbose output
python script.py -v input.txt

# Example 3: Specify output file
python script.py -o output.txt input.txt

# Example 4: Using configuration
python script.py -c config.json --verbose input.txt

Demo Output

Example 1: Basic Processing

Input:

This is a sample input file
with multiple lines of text
for demonstration purposes

Command:

python script.py sample.txt

Output:

Processing: sample.txt
Lines processed: 3
Characters counted: 86
Status: Success
Output saved to: output.txt

Example 2: Advanced Usage

Input:

{
  "name": "test",
  "value": 123
}

Command:

python script.py -v --format json data.json

Output:

[VERBOSE] Loading configuration...
[VERBOSE] Parsing JSON input...
[VERBOSE] Processing data...
{
  "status": "success",
  "processed": true,
  "result": {
    "name": "test",
    "value": 123,
    "timestamp": "2024-02-07T10:30:00"
  }
}
[VERBOSE] Operation completed in 0.23s

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Project Demo

Video

https://drive.google.com/file/d/1Ii9HoOZCZdIwMY9l3VFNw5On8rQXJZ94/view?usp=sharing

Explain what the video demonstrates - key features, user flow, technical highlights

Additional Demos

[Add any extra demo materials/links - Live site, APK download, online demo, etc.]

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AI Tools Used (Optional - For Transparency Bonus)

If you used AI tools during development, document them here for transparency:

Tool Used: GitHub Copilot, ChatGPT

Purpose: [What you used it for]

• Example: "Generated boilerplate React components"
• Example: "Debugging assistance for async functions"
• Example: "Code review and optimization suggestions"

Key Prompts Used:

• "Create a REST API endpoint for user authentication"
• "Debug this async function that's causing race conditions"
• "Optimize this database query for better performance"

Percentage of AI-generated code:

Human Contributions:

• Architecture design and planning
• Custom business logic implementation
• Integration and testing
• UI/UX design decisions

Note: Proper documentation of AI usage demonstrates transparency and earns bonus points in evaluation!

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Team Contributions

• Nazrin: Frontend development

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License

This project is licensed under the [LICENSE_NAME] License - see the LICENSE file for details.

Common License Options:

• MIT License (Permissive, widely used)
• Apache 2.0 (Permissive with patent grant)
• GPL v3 (Copyleft, requires derivative works to be open source)

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Made with ❤️ at TinkerHub