Python-Internship-Project-2025-

A collection of Python-based internship projects including an AI grammar checker (Studdy_Buddy), a voice-activated personal assistant for soldiers (Orderly), and a speech-to-image generator (Speech_2_Img), built using Flask, NLP, and MonsterAPI.

Note- This repository contains a collection of Python-based projects developed during my internship in 2025. Each project demonstrates practical application of Python, AI/ML concepts, APIs, and deployment tools.

Projects Includes:

1. Studdy_Buddy
   An intelligent writing assistant that analyzes user-entered English text for:

   • Grammar issues
   • Spelling errors
   • Sentiment polarity
   • Subjectivity
   • Also highlights negative expressions and suggests positive rewrites.

2. Orderly (Voice-Activated Personal Assistant)
   Inspired by Tony Stark’s J.A.R.V.I.S., Orderly is a modular voice assistant with military-style language and multiple capabilities:

   • Weather reports
   • News reading
   • Setting reminders
   • Motivational quotes
   • Military facts
   • Offline + Online hybrid voice engine
   • Interactive command recognition using speech

3. Speech 2 Img
   A multilingual speech-to-image generator that:

   • Takes voice input in any language
   • Translates it to English
   • Uses Stable Diffusion via MonsterAPI to generate creative images
   • Features a Flask-based web interface

Tools & Technologies Used

• Python
• Flask
• SpeechRecognition
• TextBlob
• LanguageTool
• Googletrans
• Pyttsx3 / Edge-TTS
• OpenWeatherMap API, NewsAPI
• MonsterAPI (for Diffusion)
• HTML/CSS/JS for Web UI
• .env for API management
• Virtual Environments
• Git & GitHub

Project Folder Structure

Projects│ ├── Studdy_Buddy/ │ ├── app.py │ ├── templates/ │ ├── static/ │ ├── .env │ ├── README.md │ └── requirements.txt │ ├── Orderly/ │ ├── sanchalak.py │ ├── features/ │ ├── data/ │ ├── utils/ │ ├── .env │ ├── README.md │ └── requirements.txt │ ├── Speech_2_Img/ │ ├── app.py │ ├── templates/ │ ├── static/ │ ├── uploads/ │ ├── .env │ ├── README.md │ └── requirements.txt │ ├── .gitignore └── README.md ← (this file)

How to Run the Projects:

Clone this repository

git clone https://github.com/november17mike/Python-Internship-Project-2025- cd Internship-Projects-2025/ProjectName/

Set up virtual environment:

python -m venv venv venv\Scripts\activate # On Windows

Install dependencies:

pip install -r requirements.txt Add your .env file with valid API keys where needed.

Run the app (web or terminal depending on project):

python app.py

Future Enhancements:

1. Deploy Studdy_Buddy and Speech 2 Img on Render or Railway
2. Integrate more languages and accents in Orderly’s recognition system.
3. Add mobile responsiveness and UX improvements in the UI-based apps.
4. Dockerize the applications for seamless deployment.

My Experience with CodeXInterns:

This internship strengthened my practical command of Python, NLP, speech tech, and API-driven app development. To explore the projects in detail please surf through the folders for detailed implementations and README guides.