Social Post Improver

The Social Post Improver project integrates AI, web technologies, and cloud-based services to deliver an intelligent and responsive user experience.

🖥️ Languages

Python – for backend development and AI model integration

JavaScript (React.js) – for building the interactive frontend

HTML5 & CSS3 – for structuring and styling the web interface

⚙️ Frameworks & Libraries

Flask – lightweight Python framework for backend API handling

Transformers (Hugging Face) – for NLP tasks like tone analysis, paraphrasing, and sentiment detection

Scikit-learn – for implementing ML models like sentiment classifiers and engagement predictors

NLTK / SpaCy – for text preprocessing, tokenization, and feature extraction

Bootstrap / Tailwind CSS – for responsive UI design

☁️ Cloud Services

Render / AWS EC2 – for web app deployment

Google Cloud Natural Language API – for advanced sentiment and entity analysis

OpenAI API (optional) – for content rewriting and tone enhancement

🗄️ Database

MongoDB – to store user data, posts, and improvement logs

🔗 APIs & Tools

Hashtagify / Twitter Trends API – for fetching trending and relevant hashtags

Grammarly API / LanguageTool – for grammar correction

GitHub – for version control and collaboration

Built With

• bootstrap
• css3
• flask
• github
• google
• html5
• javascript
• mongodb
• nlkt
• openai
• python
• render
• scikit-learn
• transformers