Tantrotsav 2k25 is the official website for the project expo organized by the Department of MCA, VCET, Puttur. It showcases comprehensive details about the college, the department, and the innovative projects presented during the expo. The platform serves as a digital space to explore student creativity, technological solutions, and the spirit of innovation demonstrated at the event.

Know More: GitHub

Live website: Netlify

A dynamic timetable website has been developed for VCET MCA students using HTML, CSS, and JavaScript. It efficiently displays class schedules, holidays, and special events while providing real-time updates and reminders. The user-friendly interface ensures easy navigation, making it a convenient tool for students to manage their academic schedules effectively.

Know More: GitHub

Live website: Netlify

CleanCity is a mobile app designed to improve urban waste management and promote cleaner cities. It offers waste disposal guidance to users, encouraging eco-friendly practices, and allows complaint registration for waste collection or sanitation issues, ensuring real-time reporting to authorities. For waste collectors, the app provides real-time task management to streamline their work. Built using Flet for the interface, TensorFlow Lite for machine learning-based waste classification, Pillow (PIL) for image processing, and NumPy for numerical tasks, CleanCity is an essential tool for modern cities focused on efficient waste management and sustainability.

Know More: GitHub

The Smart IoT Crop Monitoring System is a cutting-edge project aimed at enhancing irrigation efficiency through IoT technology. It utilizes sensors to monitor critical parameters such as soil moisture, pH levels, temperature, humidity, and rainfall. The data is processed by a NodeMCU ESP8266 microcontroller, which optimizes water usage by notifying the user of essential information. This system promotes water conservation while ensuring the best conditions for crop growth. The project is open-source and welcomes contributions on GitHub.

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The SentimentScope project uses machine learning to classify tweets as positive, negative, or neutral. It features a Flask backend for serving the sentiment analysis model and a Chrome extension that allows users to analyze sentiment directly from Twitter. This tool is designed to provide real-time insights into the sentiment of tweets, enhancing user experience and enabling quick sentiment analysis. The project is open-source and available on GitHub for further contributions.

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CricAnalysis is a machine learning project designed to predict the future performance of Indian cricketers. By analyzing historical data sourced from ESPN CricInfo, CricAnalysis forecasts key metrics such as runs scored and wickets taken by players in upcoming matches. The project employs various machine learning algorithms to generate accurate predictions, offering valuable insights for team selection and match strategy. This custom-built tool leverages data-driven insights to enhance the understanding of player performance trends.

Know More: GitHub

Creativemode is a professional photographer's portfolio website designed to showcase captivating visuals and creative edits. Developed using HTML, CSS, and JavaScript, the website highlights a diverse collection of photographs, expertly edited images, and exclusive Lightroom presets. With a clean and intuitive design, it offers an immersive browsing experience, allowing visitors to explore the photographer's artistic vision and expertise in visual storytelling.

Live website: Netlify