Computer Science and Engineering student with strong leadership and communication skills. Proficient in MySQL, C++, HTML, and Python for efficient database management and software development. Effective team player committed to delivering high-quality results.
Water Quality Analysis (15 Oct, 2023 - 15 Dec, 2023)
Mentor: Prof. Varsha Powar | Team Size: 3
Key Skills:Python, Power BI, Data Analysis, Data Processing, Machine Learning, Big Data Analytics, MongoDB, NoSQL
Project Link: https://github.com/AkshatLahariya/Water_Quality_Index.git
This project is centered around a detailed examination of the water quality in two significant rivers. It commenced by assimilating and meticulously preprocessing two distinct datasets. The primary objective was to ensure the reliability and accuracy of the data, laying a solid foundation for subsequent analysis.
Academic Performance Tracker (01 Oct, 2023 - 02 Dec, 2023)
Mentor: Dr.Prasad Purnaye & Dr.Pankaj Singh | Team Size: 4
Key Skills: CSS, HTML, PhpMyAdmin, MySQL, Javascript, Artificial Intelligence, Machine Learning, Flask, Next.js
Project Link: https://github.com/AkshatLahariya/Student_tracker.git
Developed a comprehensive Student Performance Management System integrating HTML, CSS JavaScript, Next.js, PHP, Python,and Flask. The system aims to manage student data, facilitate teacher interactions, and provide advanced insights into student performance through AI models.
Movie Library Management System (10 Apr, 2023 - 10 May, 2023)
Mentor: Prof. Rashmi Rane | Team Size: 4
Key Skills: C++, Vectors, File Handling, Object-Oriented Programming
Project Link: https://github.com/AkshatLahariya/OOCJ.git
Small project that stores the names of movies and their generation with the feature of searching and deleting the movies in the list in c++ using vectors and file handling.
Pet Breeding Management System (10 Jan, 2023 - 10 May, 2023)
Mentor: Prof.Sheetal Girase | Team Size: 4
Key Skills: MySQL, HTML, PhpMyAdmin, CSS, PHP
Project Link: https://github.com/AkshatLahariya/Projects.git
The Pet Breeding and Management System is a web-based application designed to simplify the management of pet breeding and care. This system aims to provide a platform for pet breeders and pet owners to manage their pets’ breeding and health records efficiently. The system is built using HTML, CSS, and PHP programming languages, and a MySQL database management system.
Sentiment Analysis and News Bias Detection (30 March, 2024-30 April, 2024)
Mentor: Prof.Ruchi Rani | Team Size: 4
Key Skills: Natural Language Processing (NLP), Sentiment Analysis, Machine Learning, Data Preprocessing, Evaluation
Project Link: https://github.com/AkshatLahariya/Sentiment-Analysis-of-news-articles.git
This project focuses on using Natural Language Processing (NLP) techniques to detect and analyze bias in news articles. The approach includes preprocessing text data, applying sentiment analysis, and utilizing machine learning models to classify news articles by their bias.