Our Projects
Simulation/IoT Projects
Simulation of Combined Cycle Gas Turbine Power Plant in MATLAB
Combined Cycle Gas Turbine power plant is a new and evolving power plant which are mostly used in the power industries. In this project a simulation is done in MATLAB using Simulink to monitor and control various physical quantities present in a power plant. The main objective of this project is to determine the capacity and capability of a power plant considering different parameters.
Monitoring and Controlling of Highway Street lights using IoT Devices
The street lights available currently in all areas are quite inefficient in energy consumption. By using IoT devices the streetlights can be more efficient. The sensors can be connected to each pole to detect the presence of any vehicles or pedestrians and save the energies.
IoT Based Water Management Systems
Water is the main source in our life and the fresh water content present in this planet are depleting day by day due to improper management of the freshwater. Using IoT applications this water management can be done with ease and with proper monitoring system. The supply of water can be controlled with IoT application and automate it using mobile phones.
ML/Data Science Projects
Image Forgery Detection Using Deep Learning
Designed and implemented a deep learning-based system to detect image forgeries with high accuracy. Utilized convolutional neural networks (CNNs) to analyze and identify tampered regions in digital images. Trained and tested the model using datasets of manipulated images, enhancing robustness against various types of forgery techniques.
House Price Prediction System for Real Estate
Developed an automated machine learning system to assist real estate companies in predicting house prices with precision. Analyzed multiple algorithms using the Boston House dataset from Kaggle to improve prediction accuracy.
Tomato Leaf Disease Detection using Deep Learning
Designed a hybrid deep learning model combining CNN and MLP to detect diseases in tomato leaves with 99.36% accuracy. Utilized the PlantVillage dataset and a self-collected field dataset to enhance model robustness.
Early Detection of Diabetes using Machine Learning
Built a system to identify diabetes at early stages, enabling timely preventive measures. Explored various machine learning algorithms using the Kaggle Diabetes Dataset to optimize prediction accuracy.
Web Development Projects
Personalized Mood-Based Movie Recommendation System
Developed a unique recommendation platform to suggest movies tailored to users moods. Integrated a mood slider and mood-based filters to create personalized watchlists. Utilized user mood history and advanced filtering techniques to enhance recommendations.
Bike renting System
Developed a user-friendly platform for renting bikes, streamlining the process for customers and providers. The system features a real-time inventory management system, secure payment integration, and a responsive design for seamless accessibility across devices. Implemented using modern web technologies to ensure reliability and scalability.