PROJECTS

Stock Market Analysis

This project on stock market prediction, utilises machine learning and data analysis to forecast stock prices with higher accuracy. The model incorporates various financial indicators and historical data to provide insightful predictions, assisting in making informed decisions.

Code

Real Estate Price Predictor

This project on Real Estate Price Predictor, utilises python libraries and data analysis to forecast estate prices using historical data, Additionally I have incorporated an interactive UI dashboard, so that user can predict prices using: Longtitude , Latitude , number of convenience stores around etc.

Code

Crop Yield Analysis

The project involves an analysis of crop data, focusing on the impact of rainfall and temperature on rice cultivation. The datasets used include rainfall, temperature, and rice crop data, which are loaded and inspected to understand their structure and initial trends

Code

K-means Clustering for Customer Segmentation

The project involves using K-means clustering to segment customers based on their annual income and spending score.

The analysis includes data preprocessing, standardization, and determining the optimal number of clusters using the elbow method.

Code

Web Performance Analysis

This project on Web Performance Analysis, aimed at Understanding traffic trends using User Engagement Analysis , Channel Performance and Website Traffic Forecasting with SARIMA .

Code

Python Chatbot - Miniature

Developed an Interactive Chatbot using Python & Streamlit. It has been designed & trained to interact with basic greetings etc.

Code

How Internet Works : An End to End of Accessing ‘Google.com’

Authored a detailed study on the processes and technologies involved in accessing a website. This research provided insights into the layers of internet communication, using a real-world example to illustrate concepts such as DNS resolution, HTTP requests, server processing, browser rendering, TCP/IP stack operations & handshakes, recursive queries and caching mechanisms, data transfer and security and performance optimization.

Download PDF

DATA MANAGEMENT IN VIRTUAL POWER PLANTS: A REVIEW

This literature review of two seminal research papers focuses on Data Lifecycle Management (DLM) in energy systems and the development of Virtual Power Plants from a data-centric viewpoint.

The review discusses the potential of DLM protocols to significantly mitigate cyber threats and improve operational efficiency by optimizing Distributed Energy Resources coordination.

The study also highlights improvements in predicting and managing uncertainties associated with renewable energy, contributing to better grid stability and system resilience.

Download PDF

UNIVERSITY DISSERTATION PROJECT

This project proposes a full-stack automated solution to address common issues in traditional cafeterias like overworked staff, payment hurdles, and long queues. This proposal streamlines the cafeteria experience from menu browsing to payment gateway to improve operational efficiency.

The proposed concept includes menu management, user registration, order tracking, a customer feedback system, and an admin page to manage overall operations. The project uses HTML/CSS, JavaScript, and Python for full-stack development. Future prospects to develop this proposal into an app for easy mobile access & AI chat-bot integration are discussed.

Download PDF

PROJECTS

Stock Market Analysis

Real Estate Price Predictor

Crop Yield Analysis

K-means Clustering for Customer Segmentation

Web Performance Analysis

Python Chatbot - Miniature

How Internet Works : An End to End of Accessing ‘Google.com’

DATA MANAGEMENT IN VIRTUAL POWER PLANTS: A REVIEW

UNIVERSITY DISSERTATION PROJECT

This website uses cookies.