Add Social Media API project

Author: parthava-adabala

index.html

@@ -201,9 +201,9 @@ <h3 class="text-2xl font-semibold mb-2">Software Engineer</h3>
             <h2 class="text-4xl font-bold text-center mb-12 animate-fade-in">My Projects</h2>
             <div class="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-3 gap-8">
                 <div class="project-card bg-gray-800 p-6 rounded-lg">
-                    <h3 class="text-2xl font-semibold mb-2">Sentiment Analysis API</h3>
-                    <p class="text-gray-400 mb-4">Built a scalable and easy-to-use sentiment analysis API leveraging FastAPI and Hugging Face’s Transformers library. The API uses a fine-tuned DistilBERT model to classify user text inputs as positive or negative with high accuracy in real time. The entire app is containerized with Docker for portability and quick deployment. Interactive Swagger UI documentation enables effortless testing and integration, making it ideal for embedding into larger applications or demos. This project demonstrates practical deployment of state-of-the-art NLP models as a production-ready service.</p>
-                    <a href="https://github.com/parthava-adabala/deeplearning/tree/main/sentiment-analysis" class="text-green-500 hover:text-green-400">View Project →</a>
+                    <h3 class="text-2xl font-semibold mb-2">Social Media API with FastAPI</h3>
+                    <p class="text-gray-400 mb-4">Developed a robust and scalable social media REST API using FastAPI with comprehensive user authentication, content management, and social interaction features. The application implements a complete CRUD system for posts with JWT-based authentication, bcrypt password hashing, and role-based access control ensuring secure user operations. Built with PostgreSQL database integration using SQLAlchemy ORM and Alembic for database migrations, the API supports user registration, login, post creation/editing, and a voting system for social engagement. The entire application is containerized with Docker for seamless deployment across different environments, while comprehensive test coverage with pytest ensures reliability and maintainability. Interactive Swagger UI documentation provides effortless API exploration and testing, making it ideal for frontend integration and developer collaboration.</p>
+                    <a href="https://github.com/parthava-adabala/social-media-app-fastapi" class="text-green-500 hover:text-green-400">View Project →</a>
                 </div>
                 <div class="project-card bg-gray-800 p-6 rounded-lg">
                     <h3 class="text-2xl font-semibold mb-2">Bigram Language Model</h3>