[SheRiseX] 🎯

Basic Details

Team Name: CORE

Team Members

• Member 1: [Akshitha S S] - [LOURDES MATHA COLLEGE OF SCIENCE AND TECHNOLOGY KUTTICHAL]
• Member 2: [Aleena X] - [LOURDES MATHA COLLEGE OF SCIENCE AND TECHNOLOGY KUTTICHAL]

Hosted Project Link

https://mintuzzz.github.io/SheRis-X/

Project Description

SheRise X is a digital platform designed to empower women through structured learning, career support, and health guidance. It offers AI-assisted tools for resume building, freelance opportunities, and wellness tips, making personal and professional growth accessible. With interactive features and user-friendly design, SheRise X helps women confidently navigate education, work, and wellbeing in one place.

The Problem statement

Lack of structured digital empowerment: Many women struggle to find reliable guidance for career growth, freelancing, and skill development in one centralized platform.

Limited access to health guidance: Quick, accessible wellness support is often unavailable, leaving women without timely advice for basic health concerns.

Challenges in professional visibility: Building resumes, showcasing skills, and finding freelance opportunities can be confusing and time-consuming, especially for women balancing multiple responsibilities.

The SolutionBy providing a single platform with career resources, resume tools, freelance guides, and an AI health assistant, making access simple and fast for women.]

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Technical Details

Technologies/Components Used

For Software:

• Languages used: [HTML, CSS, JavaScript, Python]
• Frameworks used: [Flask (for backend), Bootstrap (for responsive design)]
• Libraries used: [axios (for API calls)]
• Tools used: [VS Code, Git, GitHub, Chrome DevTools]

For Hardware:

• Main components: [None]
• Specifications: [Runs on standard computers or mobile devices with internet access]
• Tools required: [Web browser, internet connection, code editor]

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Features

List the key features of your project:

• Feature 1: [AI Health Assistant: Provides instant wellness guidance and advice]
• Feature 2: [Career & Resume Tools: Helps users build resumes and explore career options.]
• Feature 3: [Freelance & Finance Support: Offers guidance on freelance opportunities and financial literacy]
• Feature 4: []

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Implementation

For Software:

Installation

[Installation commands - e.g., npm install, pip install -r requirements.txt]

Run

[Run commands - e.g., npm start, python app.py]

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)

![Screenshot1] Add captio n 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/1wyE5FfupTc4sRlktq4Gg-xmA1Ruj7OmB/view?usp=drive_link

video link here - YouTube, Google Drive, etc.]

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)

chatgpt:

Tool Used: [ChatGPT]

Purpose: [What you used it for]

• code review

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!

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Team Contributions

• Aleena x:- Frontend development.
• Akshitha S S:-Backend 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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