Python AI/ML Based Projects
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Python AI/ML Based Projects
Brain Tumor Detection Using Python AI ML
The Brain Tumor Detection Using Python AI ML project aims to provide an automated and efficient way to detect brain tumors from medical imaging, particularly MRI scans. This project leverages the power of machine learning (ML) and deep learning techniques to assist radiologists and medical professionals in diagnosing brain tumors at an early stage, which is critical for effective treatment and patient outcomes.
SKU: brain-tumor-detection-using-ai-project -
Python AI/ML Based Projects
Future House Price Prediction System
Future House Price Prediction System
The Future House Price Prediction System is a machine learning-based tool that forecasts the value of residential properties using historical data and key features such as location, size, number of rooms, and property age. It helps home buyers, sellers, and real estate professionals make data-driven decisions.
Built using Python and ML libraries like Scikit-learn and Pandas, the system uses algorithms like Linear Regression or Random Forest to predict future prices. Users can input property details, and the system outputs an estimated market value.
Advanced versions may include geolocation data, trend analysis, and visual dashboards for deeper insights. The platform can be integrated into a web application using Flask or Django, making it accessible and user-friendly.
This predictive system is valuable for understanding real estate trends, planning investments, and gaining a competitive edge in the property market.
SKU: Future House Price Prediction System -
Python AI/ML Based Projects
Signature Verification Using Python
Signature Verification Using Python
Signature Verification using Python is a smart way to authenticate handwritten signatures by comparing them digitally. The system checks whether a given signature matches a stored one, identifying it as genuine or forged.
Using libraries like OpenCV, the process begins with image preprocessing (grayscale conversion, thresholding, contour detection) to extract important signature features. These features include shape, stroke direction, and texture.
For classification, machine learning models like SVM or KNN are used, or advanced systems can employ Convolutional Neural Networks (CNNs) with libraries such as TensorFlow or PyTorch.
This technology is useful in banking, document verification, and legal sectors, where security and accuracy are critical. Signature verification systems reduce human error and allow for fast, automated processing.
Python’s flexibility and rich ecosystem make it ideal for building powerful signature verification applications, even with limited hardware and resources.
SKU: Signature Verification Using Python -
Python AI/ML Based Projects
Automatic Number Plate Recognition (with Suspicious Vehicle Detection and Alert System)
Python AI/ML Based ProjectsAutomatic Number Plate Recognition (with Suspicious Vehicle Detection and Alert System)
This AI-powered Number Plate Recognition System uses Python and OpenCV to detect and extract number plate information from both video files and live webcam feeds. It features real-time processing, suspicious plate detection with alerts, and automatic data storage. The system is designed for security applications, enhancing surveillance and vehicle monitoring efficiency.
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Python AI/ML Based Projects
Spam Filtering Using Supervised Machine Learning Algorithms
The objective of this project is to detect Spam and ham messages using various supervised machine learning algorithms like Naive Bayes, Support Vector Machines algorithm, Bidirectional LSTM, and Transfer Learning with USE Encoder and compare their performance in filtering the Ham and Spam messages. As people indulge more in Web-based activities, and with rising sharing of private-data by companies, SMS spam is very common. Scammers create fraudulent text messages to deceive you into giving them your personal information, such as your password, account number, or Social Security number. If they have such information, they may be able to gain access to your email, bank, or other accounts. SMS spam filter inherits much functionality from E-mail Spam Filtering. Comparative study is performed based on the performance of various supervised learning algorithms and the algorithm that gives us the most accurate result is recommended. A simple UI is developed to demonstrate the working of spam filtering in practice.
SKU: Spam Filtering Using Supervised Machine Learning Algorithms -
Python AI/ML Based Projects
Predictive Maintenance using Unsupervised Machine Learning
For any industrial machinery equipment, there is a need to increase operational flexibility and reduce operating costs. To achieve this objective, system engineers mainly focuses on 3 attributes of the machinery, namely reliability, maintainability and reliability. Maintenance strategy significantly improves the reliability and availability of assets and, as a result, decreases the number of unpredicted breakdowns. Recently unsupervised Machine Learning has received much attention in anomaly detection and predictive maintenance of equipments before they can fail. Unsupervised learning can help automate and improve feature engineering by extracting relevant and informative features from the data, without requiring labels or prior knowledge. In this project there are three different techniques that are applied: 1) PCA Model, 2) Auto-encoder Model and 3) LSTM Model with auto-encoder for detection of motor and compressor failures.
SKU: Predictive Maintenance using Unsupervised Machine Learning -
Python AI/ML Based Projects
Bank Statement Analysis and Transaction Category Prediction
Bank statement analysis involves summarizing cash inflows and outflows from statements and providing an overview of financial health of individuals. Businesses and NBFCs consider the financial history of borrowers during credit assessments and bank statement analysis tool is being used by various industries for faster processing times, efficiency, and document processing purposes. The objective of this project is to study the cashflows in terms of debits and credits for the retail customers and predict the transaction categories based on mode of transactions and counter parties etc. Various Machine Learning algorithms are used to classify the transaction categories using train data and predict the transaction categories using test data. It also recommends the algorithm that gives the best accuracy score.
SKU: Bank Statement Analysis and Transaction Category Prediction -
Python AI/ML Based Projects
Image Search using Deep Learning
Content based Image Retrieval (CBIR) is a popular technique used in computer vision for finding out a specific image out of a given set of images. Different category of images is stored in a folder of the repository. These are then preprocessed and visualized using image processing technique. Autoencoder architecture is used for image classification. Deep learning model is trained with the train set of data while model inferencing is done by using test component of dataset. When the user wants to search a particular image which will be matched with each of the images present in the repository and the image that is best matched with the given image will be displayed on the top followed by other similar images based the similarity score. Flask API is used to develop a web application running on local server. This project finds many useful applications such as fashion and retail, manufacturing and health care industries.
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Python AI/ML Based Projects
Recommendation System for eLearning contents
In this project eLearning contents are generated by scraping the websites and then keywords are extracted using Spacy library. Clustering techniques are used to cluster the contents as ‘Low’, ‘Medium’ and ‘High’ complexity. The contents are personalized by matching the contents with user’s profile. Cosine Similarity is used to recommend the websites and keywords based on search keywords as entered by the user. Top 10 search results along with the similarity scores will be displayed to the user when the user wants to search a specific eLearning material from the internet.
SKU: Recommendation System for eLearning contents -
Python AI/ML Based Projects
Forecasting Corona Virus Outbreak
The outbreak of COVID-19 made a significant health impact across the globe. This project is designed to analyze how coronavirus affect different nations and to predict potential COVID-19 cases across all the globe on an everyday basis. The objective was to gauge COVID-19 on three metrics- confirmed cases, recovered cases and death events for the next day using historical data as on a given date. Various forecasting models such as Linear Regressor, Random Forest Regressor, ARIMA, Prophet, Holt Winter etc. are used for time series analysis and forecasting COVID cases.
SKU: Forecasting Corona Virus Outbreak -
Python AI/ML Based Projects
Semantic Search Engine Using Generative AI
With the advent of Large Language Model (LLM) like ChatGPT, semantic search has received much attention in recent time. This project takes advantage of LLM to help build semantic search engine which finds wide spread applications across industries. It starts with chunking the documents and creating vector database using Amazon Titan text embedding model. When the user wants to search a specific information from the document(s), it fetches the information that are semantically closer to the user’s query and displays top 3 answers based on similarity score. An User Interface (UI) is developed using Gradio which helps user to interact with search query and receive response from the LLM.
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Python AI/ML Based Projects
Neural Machine Translation
The objective of this project is to convert Hindi sentence to English sentence for non-native speakers using Neural Machine Translation. The dataset is preprocessed by removing punctuations and all duplicate values as well as all quotes, numbers and white spaces that are present in text data. Then English and Hindi vocabulary is prepared by splitting sentences into words. Encoder Decoder architecture is used to build the model wherein decoder is an LSTM model with embedding layer, sequence to sequence layer, attention mechanism and dense layer. The model is appropriately trained with the train data and saved the model weights, which are loaded while inferencing the test data for making the prediction. The predicted English translation will be obtained from decoded sequence function.
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Python AI/ML Based Projects
AI Assistant for Tourists
This project is aimed to develop a virtual assistant chatbot that can help the tourists tell the weather for any city, places around a city and points of interests such as beaches, hotels, restaurants around a city etc. Rasa framework is employed to build the chatbot. The application can be run on local browser. The user can interact with the chatbot using a simple UI built on HTML and CSS.
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Python AI/ML Based Projects
Malware Prediction in Software
Malwares are software viruses. Once a computer can be infected by malware, criminals can hurt consumers and enterprises in many ways. The purpose of this project is to explore and analyse the data to find out the varieties of software issues. All potential features are extracted and feature selection technique is applied to define the target variable and input feature matrix. Various classification algorithms are used to classify the potential malwares and best classifier is recommended. Model explainability is used explain the top few candidate features based on feature importance.
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Python AI/ML Based Projects
Telecom Network Anomaly Detection
Network security is becoming increasingly important as large number of applications are running on the top of it. There are number of network parameters that are commonly used to specify the Telecom network. Careful analysis is required to be done in order to understand the vulnerability of the network. Therefore anomaly detection is so important in the network. The data science techniques are used to study the network parameters and then classification algorithms are applied to classify the network issues. The web based application is also developed using Streamlit so that the user can interact with the application by changing the network parameters thereby helping the user to understand whether the network is ‘OK’ or ‘Not OK’.
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Python AI/ML Based Projects
Ground Water Quality Prediction
This project leverages Machine Learning techniques to determine the quality of ground water being considered as drikable. It starts with exploratory data analysis followed by visualizations and classification algorithms such as Logistic Regression, kNN, DecisionTree, Random Forest, XGBoost and so on. The performance of the models are evaluated using confusion metrics and compared to understand their suitability of their usage to solve the business problem.
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Python AI/ML Based Projects
Space Shooter Combat Game (Controlled by Remote) in Python
The Space Shooter Combat Game project is an engaging Python-based game where players control a spacecraft to battle against enemies using a remote controller. The game integrates basic game development concepts with remote control input, offering an interactive experience.
SKU: application-of-polystyrene-pushbuttons -
Python AI/ML Based Projects
College Management System Using Python
The College Management System is a Python-based project designed to manage and streamline various administrative tasks within a college or educational institution. It helps in managing student records, faculty details, course information, and other essential academic operations.
SKU: College Management System Using Python -
Python AI/ML Based Projects
Student Management System In Python
The Student Management System in Python is a project that provides an efficient way to manage student data, streamlining academic records and administrative processes. It is designed to handle various tasks related to student information, such as enrollment, performance tracking, and record maintenance.
SKU: student-management-system-in-python -
Python AI/ML Based Projects
Movie tickets Booking management system in Python
The Movie Tickets Booking Management System in Python is a project designed to simplify and manage the process of booking movie tickets for customers. This system allows users to view available movies, select showtimes, book tickets, and manage bookings in an efficient manner.
SKU: Movie tickets Booking management system in Python -
Python AI/ML Based Projects
Employee Management System Using Python
The Employee Management System in Python is a comprehensive project designed to manage the various aspects of employee data within an organization. This system provides functionalities to add, update, delete, and retrieve employee details, ensuring smooth and efficient management of human resources.
SKU: Employee Management System Using Python -
Python AI/ML Based Projects
Hotel Management System using python
The Hotel Management System in Python is a project designed to automate and manage various operations within a hotel. This system streamlines tasks such as booking rooms, managing guest information, handling billing, and maintaining room availability, making hotel operations more efficient and error-free.
SKU: Hotel Management System using python -
Python AI/ML Based Projects
Bank Management System using python
The Bank Management System in Python is a project designed to handle various banking operations efficiently and securely. This system enables bank staff and customers to manage accounts, perform transactions, and access banking services digitally, reducing the need for manual processes.
SKU: Bank Management System using python -
Python AI/ML Based Projects
Human detection using Python
The Human Detection project in Python focuses on detecting and recognizing humans in images or video feeds using computer vision techniques. This project can be applied in various fields, including surveillance systems, automated security, robotics, and smart home devices.
SKU: Human detection
