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Pantech help to give an overview of the python projects. Python has one of the most popular languages. Pantech help working on such projects and will get some hands-on experience. Moreover, such projects will help improve the knowledge.
In a practical approach in a real- time work environments on projects for students to get hands-on experience on Python. To acquaint with new tools and technologies while working on a python design.
Sentiment analysis methods have been used to improve the election results prediction based on twitter data analysis using AI of counting methods. It significantly in relation to the observation period, i.e.; the data collection and cleansing methods, and the performance evaluation strategy.
Face Emotion Recognition using CNN plays an important role in systems for measuring people’s emotions has dominated psychology by linking expressions to groups of basic emotions. These features are useful to distinguish the maximum number of samples accurately and it is based on discriminate analysis is used to classify different expressions.
The leaf disease detection using CNN with open CV techniques for automated vision system used at agricultural field. It is essential one in monitoring large fields of crops, and thus automatically detects symptoms of disease as soon as it appears on plant leaves.
Deep learning became a major tool for Ad Tech. A Logo detection using deep learning open CV system is used to identify the targets from brands, products and logos on publicly posted images. The easiest way to identify brand from images is by its logo.
A food calories detection using deep learning algorithm that was used to analyze static food image. By analyzing the composition of the food, the algorithm can calculate how much calories the dish has. It provides a more efficient way of estimating calories.
A Predicting Employee Attrition using Machine Learning model is the output generate when to train machine learning algorithm with data. After training, when it provides a model with an input will be given an output. It can be used in real time to learn from data. The improvements in accuracy are a result of the training process and automation that are part of machine learning.
This Diabetes Prediction using Machine Learning of data set consists of information of user i.e.; age, type of symptoms related to diabetes. Data is classified and shown in the form of different graphs. The easy data analysis will show results of medical information of changes of getting diabetes on universal plots.
With emerge of KDD and data mining approach for finding network attacks, i.e.; traditional techniques become more complex to deal with big data. Therefore, it intends to use Big Data techniques to produce high speed and accurate intrusion detection system. The results of the experiment shows that model has high performance and efficient for Big Data.
Student Performance Prediction using Machine Learning outcome i.e.; based on learning is a system which will strive for excellence at different levels and diverse dimensions in the field of student’s interests. It analyzes the student’s demographic data, study related and psychological characteristics to extract all possible knowledge
Use of Clustering in Machine Learning is the task of mapping text to its accompanying hashtags. In this process a model for hashtag prediction show this task a useful surrogate for learning good representations of text. This hashtag i.e.; based detailed query show the result as whether it will be positive or negative and random forest algorithm.
The technique that allows machines to read and understand through human emotions and extract useful insights for many businesses to grow and develop in the field. Hotel review rating classification collected from the guests can be classified into three sub classes i.e., positive, negative, or neutral and therefore it can analyze the sentiment of the customer.
This oversight by developing tools and techniques that deliver state-of-the-art performance in a variety of Arabic natural language processing tasks. Machine translation is most active area of research, but also worked on statistical parsing and part-of-speech tagging.
The text summarization using NLP method of extracting these summaries from the original huge text without losing vital information. It is to identify the important sections, interpret the context and reproduce in a new way. This ensures that the core information is conveyed through shortest text possible.
Real time face detection using raspberry pi and opencv is a type of biometric software application that can identify specific individual in a digital image by analyzing and comparing patterns. It is used for security purposes in a variety of other applications. The features are useful to distinguish the maximum number of samples accurately and it is matched with stored image samples for person verification.
This Raspberry Pi allows to detect multiple faces which technology used in applications. By multiple face detection using raspberry pi and open CV technology in the cloud to process feature of the image which has multiple faces. It can be done by detecting face first and place landmarks on every face to confirm the face which is present in the image or video.
This wildlife photography using raspberry Pi and open cv is implemented with camera placed in the forest to capture unnoticed action of livings. It takes video with motion-based technology for storage optimization, with action-based camera to capture the image.
This automatic selfie camera using raspberry pi with open cv features facilities like automatic and manual selfie-booth system, and the image can be captured using open cv technology. It detects and classifies each part of face and after detecting smile in the face as it captures the image.
The Raspberry Pi system used technology by interfacing camera which monitoring the brightness to track light. It is used for surveillance as the beginners can work with light sensing robot using raspberry pi and Open CV technology by using camera with Raspberry Pi.