Web Dev and AI/ML Repo 🤖👩‍💻

Welcome to our Web Dev and AI/ML Repository!

🚀 Explore the World of Web Development and Artificial Intelligence! This repository is a treasure trove of fascinating projects built on Flask that blend innovation, creativity, and cutting-edge techniques—dive in and be inspired!

We're thrilled to have you here! 🌟

🙌 Maintainers 👩‍💻 :

• Vani Varanya
• Saumya Gupta
• Shruti Narang

🙌 Contributors 👩‍💻 :

• Saumya Gupta
• Shruti Narang

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📂 Project Details

1️⃣ Heart Disease Prediction

🫀 Description:
The Heart Disease Prediction project is a web application designed to predict the likelihood of heart disease in individuals. This tool aims to assist users in understanding their heart health and encourages proactive measures by offering insights based on their health parameters.

👾 Project Category: Machine Learning

🌟 Details:

• User Friendly Input Form: Collects essential health-related info from the user.
• Prediction Model: Utilizes a trained Machine Learning model to predict the probability of heart disease.
• Result Display: Tells whether there is low or high risk of heart disease.
• Flask based Integration

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2️⃣ Face Recognition App

👶 Description:
The Face Recognition App is a web-based application that employs Computer Vision techniques to recognize and verify human faces.

👾 Project Category: Computer Vision, Image processing

🌟 Details:

• Image Upload: Users can upload images containing faces for recognition.
• Face Detection: Identifies and locates faces within the uploaded images.
• Flask based Integration

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3️⃣ Fake News Detection

📰 Description:
The Fake News Detection project is a web application aimed at identifying and classifying news articles as real or fake. By analyzing the textual content of news articles, the app uses Natural Language Processing (NLP) techniques to detect misleading or false information, thereby assisting users in discerning the credibility of news sources.

👾 Project Category: Natural Language Processing

🌟 Details:

• Text Input: Allows users to input news article text for analysis.
• Prediction Model: Applies a trained NLP model to classify the input text as real or fake news.
• Result Display: Shows the classification result to the user
• Flask based Integration

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🛠️ How to Get Started

1. Fork this Repository
   Click the Fork button to create your copy of this repository.

2. Clone the Repository

   git clone https://github.com/GDG-IGDTUW/Web-Dev-AI-ML.git  
   cd repo-name  

3. Install Dependencies
   Navigate to the project folder you're interested in.
   For example:

   cd Fake-News-Detector

   Load the dataset (if any) and Install necessary Libraries

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Install requirements

pip install requirements.txt

4. Make Your Contributions

   • Add Features.
   • Train models.
   • Enhance Accuracy.
   • Improve UI.
   • Test your changes.

5. Run and test your changes
   Run the Flask Application
   For example:

   python app.py

6. Submit a Pull Request
   Push your changes and create a pull request to propose your contributions! 🎉

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🤝 Contributing Guidelines

We ❤️ contributions! Follow these simple steps to contribute:

1. Browse through Issues and Choose any
   Browse the Issues tab and comment on the one you'd like to work on.

2. Clone the Repo, Make changes and Branch Out
   Create a new branch for your changes:

   git checkout -b feature-name  

3. Commit Your Work
   Write clear and concise commit messages:

   git commit -m "Add: Feature description"  

4. Push and PR
   Push your branch and create a pull request for review.

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🌟 Tips for Contributors

• Follow the repository’s code style and structure.
• Keep ML scripts well-indented and include comments.
• Share any interesting results or insights in the pull request description.
• If you want an issue to be assigned to you, Tag us and mention so under the issue.
• Please be patient and Feel free to Tag the maintainers or collaborators for any queries. ❤️

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Happy Coding and Collaborating!🚀❤️