Covid Tweet Sentiment Analysis

● Built a sentiment classification model using Python and Scikit-learn to categorize COVID-19 tweets as Positive, Negative, or Neutral. ● Cleaned and preprocessed tweet data using Pandas, NumPy, and NLTK, ensuring data privacy by anonymizing usernames and screen names. ● Extracted features such as location, timestamp, and tweet content to improve classification accuracy. ● Trained and evaluated the model using standard metrics to ensure reliable performance on real-world social media data.

Virtual Agent

Developed a Virtual Agent designed to provide accurate and efficient answers using domain specific knowledge. Designed user friendly dashboard using Streamlit and Python, Deployed on Streamlit Cloud to access over the internet. Implemented a RAG pipeline using Python, LangChain, OpenRouter LLM Models to enhance response quality and context relevance. Introduced image generation feature by using Hugging Face and Stability AI’s Stable Diffusion XL (1.0).

Diary Management Application

Developed a Diary Management application using Spring MVC, Hibernate, and Spring Data JPA to manage user accounts and diary entries in a relational database. Created a responsive user interface using HTML, CSS, and JavaScript, with backend integration through RESTful services. Used Maven for project build, dependency management, and maintaining a clean application structure.

Marriage Bureau

● Designed responsive and animated user interfaces using React, TypeScript, Tailwind CSS, and Framer Motion. ● Developed RESTful APIs using Node.js and Express to support multimedia data handling. ● Integrated MongoDB and Firebase Storage to securely store user data with Google OAuth 2.0 authentication. ● Deployed both frontend and backend on Vercel and Render, and monitored overall application health.

Reports Management System

● Developed a Python-based data management application capable of handling, cleaning, and transforming various types of structured data to ensure consistency and quality across datasets. ● Integrated sample datasets and dynamic machine learning model support, enabling predictive analytics on live and historical data. ● Built interactive business dashboards and automated reporting modules using Flask, HTML5, CSS3 and Javascript to provide real-time business analytics. ● Configured Pythonanywhere flask environment, successfully deployed and crawled in google search console.

Campus Block Course Selling Application

● Developed a scalable MVC backend using Node.js, TypeScript, Express, ESLint, and ESBuild for bundling. ● Developed front-end components with Next.js, React.js, Redux, Tailwind CSS, and UI libraries like Shadcn and Aceternity for a clean and responsive design. ● Implemented CI/CD pipelines using GitHub Actions, integrated with AWS IAM and OIDC for secure deployment to AWS Lambda with API Gateway. ● Managed cloud infrastructure using Terraform to provision AWS S3, CloudFront, Lambda, IAM, and CloudWatch. ● Involved in deploying backend on AWS Lambda, setting up API Gateway and CloudWatch for accessibility and logging.

Eamcet College Selector

● Built a scalable backend using Next.js, TypeScript, Apollo Server, and GraphQL to streamline data queries. ● Designed responsive UI with React.js, Tailwind CSS, HTML5, and CSS3, and ensured code quality using ESLint. ● Created database schemas with Prisma and PostgreSQL, modeling one-to-many relationships between colleges and courses. ● Managed deployment environments and launched the application on Vercel. ● Monitored logs, resolved errors in production, and iteratively improved based on feedback.