INVESTIGATION OF HUNGA TONGA HA’APAI VOLCANIC ERUPTION: A CASE STUDY
Team Members: Hetvi Sorathiya
Guided by: Prof. Amit Vyas(amit.vyas.ce@vvpedulink.ac.in)
The research highlights the intricate interplay between volcanic activity and atmospheric chemistry. The results have critical implications for climate modeling, environmental policy, and future volcanic risk assessment. This research experience enhanced my expertise in atmospheric science, data processing, and scientific analysis, equipping me with valuable skills in climate impact modeling and satellite-based observation techniques.
Secure Sphere-Ed Initiative
Team Members: Isha Jatania
Guided by: Prof. Savan Vachhani (savan.vachhani.ce@vvpedulink.ac.in)
During my cybersecurity internship, I conducted penetration testing, log analysis, and OSINT investigations, identifying security weaknesses in web applications. However, certain limitations exist in the scope and tools used. Some tests were restricted due to lack of access to production environments, and automated scanning tools had limitations in detecting business logic vulnerabilities. Additionally, while log analysis with ELK Stack provided valuable insights, real-time threat detection and alerting mechanisms could be further improved.
Image Processing using AI/ML
Team Members: Khushi Mehta
Guided by: Prof. Rohit Chavda( rohit.chavda.ce@vvpedulink.ac.in)
A major part of the internship involved applying advanced Python libraries such as Pandas and NumPy for pre-processing raw data and transforming it into usable formats. In addition, I gained proficiency in computer vision by working with OpenCV, applying it to tasks like image processing and object detection, which provided insight into the power of visual data analysis in AI applications.
MACHINE LEARNING MODEL
Team Members: Khushi Pujara
Guided by: Prof. Bhavesh Chhatrala(bhavesh.chhatrala.ce@vvpedulink.ac.in)
During the development of project, I learned data collection, data prepossessing, data exploration, model building and evaluation. I worked on the project Machine Learning models and built 3 models that help to predict the output based on give data.
Node js Internship – Chatomate
Team Members: Vadoliya Abhishek
Guided by: Dr.Tejas Patalia (cehod@vvpedulink.ac.in)
Responsible for understanding and interpreting user queries and responses in natural language. Utilizes machine learning algorithms to improve accuracy and adaptability over time. Facilitates seamless integration with various customer engagement channels, CRM systems, and third-party applications. Supports APIs, webhooks, and other integration methods to ensure data synchronization and real-time communication.
Deployment of Wazuh XDR in Ubuntu(Cyber Security)
Team Members: Bhatti Devanshu Nildeep
Guided by: Prof. Vinit Thakar( vinit.thakar.ce@vvpedulink.ac.in)
I worked on the project Sentiment extraction model which is model that helps you classify the textual data in the categories of the sentiments. It is very helpful to businesses for getting the customers feedback overview of their products.
Sentiment Extraction Model
Team Members: Rohan Dodiya
Guided by: Prof. Dipesh Joshi (dipesh.joshi.ce@vvpedulink.ac.in)
The sentiment analysis system is designed to classify the sentiment of text inputs as positive, negative, or neutral. The system is based on a random forest algorithm work on Python, Flask, Data science, Machine learning and is integrated with the Flask framework to make it accessible via API. The system has three divisions: text analysis, file analysis, and reviews analysis. The system also has an option to refresh the model, which re-trains the model with updated data.
AI Based Keyword and Content Generator Tool
Team Members: Hardi Govani
Guided by: Prof. Brinda Chanv (Brinda.chanv.ce@vvpedulink.ac.in)
AI Based Keyword and Content Generator Tool is a trending content aggregator where user can generate content to get more reach and to expand their network in multiple social media platforms. The platform we work on .NET, React, Next.js. The main objective of this website is to provide a user-friendly experience to customer from whom they can create their desired trending content and keywords.
Vulnerability Assessment & Penetration Testing (VAPT)
Team Members: Abhik Makwana
Guided by: Prof. Rahul V. Vora (Rahul.vora.ce@vvpedulink.ac.in)
The main objective is to discover potential security weaknesses and
Vulnerabilities that could be exploited by attackers. This involves conducting thorough assessments and scans of systems, networks, and applications to uncover vulnerabilities in configurations, code, or design.
VAPT aims to assess the potential impact of identified vulnerabilities on the overall security of the systems. This includes determining the level of risk associated with each vulnerability and understanding how they could be exploited to gain unauthorized access, steal data, or disrupt services.