- Member 1: [Name] - [College]
- Member 2: [Name] - [College]
[mention your project hosted link here]
[2-3 lines about what your project does]
[What problem are you solving?]
[How are you solving it?]
For Software:
- Languages used: [e.g., JavaScript, Python, Java]
- Frameworks used: [e.g., React, Django, Spring Boot]
- Libraries used: [e.g., axios, pandas, JUnit]
- Tools used: [e.g., VS Code, Git, Docker]
For Hardware:
- Main components: [List main components]
- Specifications: [Technical specifications]
- Tools required: [List tools needed]
List the key features of your project:
- Feature 1: [Description]
- Feature 2: [Description]
- Feature 3: [Description]
- Feature 4: [Description]
[Installation commands - e.g., npm install, pip install -r requirements.txt][Run commands - e.g., npm start, python app.py][List all components needed with specifications]
[Explain how to set up the circuit]
 Add caption explaining what this shows
 Add caption explaining what this shows
 Add caption explaining what this shows
System Architecture:
Explain your system architecture - components, data flow, tech stack interaction
Application Workflow:
Add caption explaining your workflow
 Add caption explaining connections
 Add caption explaining the schematic

 List out all components shown
 Explain the build steps
 Explain the final build
Base URL: https://api.yourproject.com
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...]
Explain the user flow through your application
For Android (APK):
- Download the APK from [Release Link]
- Enable "Install from Unknown Sources" in your device settings:
- Go to Settings > Security
- Enable "Unknown Sources"
- Open the downloaded APK file
- Follow the installation prompts
- Open the app and enjoy!
For iOS (IPA) - TestFlight:
- Download TestFlight from the App Store
- Open this TestFlight link: [Your TestFlight Link]
- Click "Install" or "Accept"
- Wait for the app to install
- 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| 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]
Step 1: Prepare Components
- Gather all components listed in the BOM
- Check component specifications
- Prepare your workspace
Caption: All components laid out
Step 2: Build the Power Supply
- Connect the power rails on the breadboard
- Connect Arduino 5V to breadboard positive rail
- Connect Arduino GND to breadboard negative rail
Caption: Power connections completed
Step 3: Add Components
- Place LEDs on breadboard
- Connect resistors in series with LEDs
- Connect LED cathodes to GND
- 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
Basic Usage:
python script.py [options] [arguments]Available Commands:
command1 [args]- Description of what command1 doescommand2 [args]- Description of what command2 doescommand3 [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.txtExample 1: Basic Processing
Input:
This is a sample input file
with multiple lines of text
for demonstration purposes
Command:
python script.py sample.txtOutput:
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.jsonOutput:
[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
[Add your demo video link here - YouTube, Google Drive, etc.]
Explain what the video demonstrates - key features, user flow, technical highlights
[Add any extra demo materials/links - Live site, APK download, online demo, etc.]
If you used AI tools during development, document them here for transparency:
Tool Used: [e.g., GitHub Copilot, v0.dev, Cursor, ChatGPT, Claude]
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: [Approximately X%]
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!
- [Name 1]: [Specific contributions - e.g., Frontend development, API integration, etc.]
- [Name 2]: [Specific contributions - e.g., Backend development, Database design, etc.]
- [Name 3]: [Specific contributions - e.g., UI/UX design, Testing, Documentation, etc.]
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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