Developed a comprehensive Project Management System for the Department of Computer Science and Information Technology at BMIIT (Babu Madhav Institute of Information Technology), Uka Tarsadia University. This system streamlines the management of student projects and faculty reviews, reducing administrative time and effort by 50% and enhancing evaluation accuracy by 30%. Utilized Laravel, PHP, MySQL, HTML, CSS, JavaScript, and jQuery to build a robust and user-friendly platform.

Engineered a dynamic Training and Placement Cell System for BMIIT, Uka Tarsadia University, facilitating efficient management of student placements and employer interactions. This system increased placement rates by 17% and boosted average salary packages offered by 5-20%. Technologies employed include .NET, C#, SQL Server, HTML, CSS, JavaScript, Microsoft Visual Studio, ASP.NET, Bootstrap, Azure, Entity Framework, and jQuery.

Created an advanced Data Management System for Nishtha Industries, enabling efficient handling of company data across multiple business units. Features include dynamic user and role management, automated tax calculations, and invoice generation, which improved data accuracy by 40% and ensured data security. Built with Django, PostgreSQL, HTML, CSS, JavaScript, Bootstrap, Amazon EC2, Amazon RDS, Amazon S3, and integrated with Cloudflare for enhanced performance and security.

Developed a robust Shop Management System for multiple local businesses to manage inventory, sales, purchases, customers, suppliers, and employees. This application enhanced stock management efficiency and boosted sales performance. Utilized ADO.NET, C#, SQL Server, Windows Forms, and Entity Framework to create a reliable and scalable solution.

Built a comprehensive Job Portal System for managing multiple companies, job postings, and user interactions. This platform streamlined the job application and posting processes by 50%, enhancing user experience by 30%. Technologies used include Laravel, PHP, MySQL, HTML, CSS, JavaScript, jQuery, ensuring a seamless and intuitive user interface.

Developed an advanced Ecommerce Website, QualityZon, featuring comprehensive user management, product and inventory management, order processing, payment integration, shipping logistics, and an intuitive admin panel. Leveraged React.js, Bootstrap 5, HTML, CSS, JavaScript, Node.js, Express.js, MongoDB, Stripe, Razorpay, and Cloudinary to deliver a high-performance and scalable online shopping platform.

Created the mobile counterpart for QualityZon, ensuring seamless integration with the existing backend. The mobile application offers advanced user management, product and inventory tracking, order processing, secure payment gateways, shipping management, and comprehensive admin controls. Developed using React Native, Expo, React Navigation, Axios, Stripe, Razorpay, and Cloudinary for a consistent and responsive user experience.

Designed and developed Travire, a comprehensive Travel Website enabling users to book tours and trips with ease. Features include advanced user management, tour and trip scheduling, booking processing, secure payment systems, customer reviews, and an extensive admin panel supporting hotel and flight bookings. Utilized React.js, Next.js, GraphQL, Apollo Client, HTML, TailwindCSS, JavaScript, Node.js, Express.js, MongoDB, Stripe, Razorpay, and Cloudinary to deliver a feature-rich and user-friendly travel platform.

Developed Diamond Calculator, a React Native mobile application that accurately calculates diamond prices based on provided details. Conducted interviews with 50-60 diamond business owners to refine the pricing algorithms and formulas, ensuring industry-standard accuracy. Utilized React Native, Expo, React Navigation, Axios, and NativeWind to create a high-performance and user-friendly application.

Created an intelligent ChatBot for personal use and for friends, specializing in stock market analysis. Features real-time UI generation and seamless integration with LangChain for enhanced conversational capabilities. Developed using Next.js Server Actions, TailwindCSS, OpenAI API, and Bun.js to ensure high performance and responsiveness.

Developed GST Recon, a Python-based application for a family-owned business to automate GST reconciliation and return filing processes. Features include GST return filing, reconciliation, report generation, invoice creation, and payment processing. This system reduced GST return filing time by 98% and improved accuracy by 0.98%. Technologies used include Python, Pandas, OpenPyXL, Tkinter, NumPy, and Matplotlib.

Created StudyBuddy, a learning project to deepen my understanding of Django and Django REST Framework. Features include comprehensive user management, course creation, lesson planning, quiz administration, and assignment tracking. This project enhanced my skills in backend development and API design.

Developed an Airbnb Clone to enhance my proficiency in React.js and Tailwind CSS. Features include user authentication, property listings, booking management, and responsive design. This project provided hands-on experience with frontend development and UI/UX design principles.

Implemented a machine learning model to predict house prices based on various features. Utilized Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, and Jupyter Notebook for data analysis, visualization, and model training. This project enhanced my skills in data science and predictive analytics.

Developed a predictive model to diagnose breast cancer using machine learning techniques. Employed Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, and Jupyter Notebook for data preprocessing, visualization, and model evaluation. This project strengthened my expertise in healthcare data analytics and predictive modeling.

Created a machine learning model to predict Titanic passenger survival based on historical data. Utilized Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, and Jupyter Notebook for data cleaning, feature engineering, and model training. This project enhanced my understanding of classification algorithms and model evaluation techniques.

Developed a machine learning model to classify crops based on provided data. Implemented data preprocessing, feature selection, and model training using Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, and Jupyter Notebook. This project improved my skills in agricultural data analysis and classification techniques.

Implemented a sentiment analysis model to evaluate the sentiment of textual data. Utilized Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, and Jupyter Notebook for data preprocessing, visualization, and model development. This project enhanced my capabilities in natural language processing and sentiment classification.