Niketan Barshikar - AI Application Developer | ContraWork by Niketan Barshikar
Niketan Barshikar

Niketan Barshikar

Java & Web Developer | Building scalable applications

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Pune, India

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Pune, India

Cover image for TP Helper | React Native
TP Helper | React Native | Mobile Application Development Developed TP Helper, a mobile application designed to assist users with Town Planning (TP) activities and information. The application provides a convenient mobile interface to access and manage town-planning-related information. Built the application using React Native, focusing on a responsive, user-friendly interface and smooth navigation across mobile devices. Key Technologies: React Native, JavaScript, Mobile App Development. Key Features: User-friendly mobile interface Town planning information management Easy navigation and data access Responsive design for mobile devices Cross-platform application development
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Cover image for AI-Based Sentiment Analysis | Python,
AI-Based Sentiment Analysis | Python, Machine Learning, NLP Developed an AI-based Sentiment Analysis system as a final-year academic project that analyzes text related to any subject or topic and classifies the sentiment as Positive, Negative, or Neutral. The system uses Python, Machine Learning, and Natural Language Processing (NLP) techniques to preprocess text, extract relevant features, train classification models, and generate sentiment predictions. The project was designed to analyze different types of textual data such as reviews, social media content, comments, and articles. Key Technologies: Python, Machine Learning, NLP, Pandas, Scikit-learn, NLTK, Flask. Key Features: Text preprocessing and cleaning Sentiment classification Machine learning model training Positive/Negative/Neutral prediction Data analysis and visualization User-friendly interface for entering text and viewing results
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Cover image for Hostel Management Website | Node.js,
Hostel Management Website | Node.js, JavaScript, HTML, CSS, MongoDB Developed a hostel management website as a second-year college project to simplify hostel-related activities and provide an easy-to-use web interface for students and administrators. Built the application using Node.js and JavaScript, with HTML and CSS for the frontend and MongoDB for storing and managing hostel-related data. Implemented features for managing student information, hostel details, and basic administrative operations. Technologies: Node.js, JavaScript, HTML, CSS, MongoDB.
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