Emotions Tracking Project (Video & Images)

This AI-based emotions tracking solution is for tracking the emotions of the user while video recording. With this AI solution, the emotions are tracked in terms of Sad, Angry, Happy, etc. Observing the user’s body language, voice tone, hand motions, and other gestures. This helps make improvements after capturing the futurist index most accurately. About an emotional tracking project.

• Tracking emotions using Keras and Opencv.
• Applying pre-defined haarcascade for classification.
• Classification into different category (like happy, sad, anger etc.)
• Apply opencv to detect face and predict emotions.

NLP for Text Extraction

This NLP and Machine Learning based project is AI-enabled solution to extract time, money, important keyword and sentence similarity from the text. It helps remove incorrect words using by applying data cleaning and data pre-processing. Applying different AI-enabled techniques for various texts.

• Applying tfidf and word2vec method.
• Creating vector for text data.
• Extracting date from Date_time function.
• Extract important words using genism method.
• Apply normalization technique using TfidfVectorizer method.
• Removing incorrect words using nltk.

AI Object Detection

AI with object detection is helpful in to fetch data for important data points. We have designed and developed AI solutions for different datasets to achieve higher accuracy on a variety of data samples. Custom Models like Human Ethnicity, Count Logo Brands, Car Type, Car Brand, Car Size, Human height, and many others can easily be detected.

• Using Deep Learning models to extract features.
• We train our own AI model using (CNN,OPENCV) for different datasets.
• Optimize the model to achieve higher accuracy on a variety of data samples.
• Input is fed into the trained model and result is fetched in output.
• Object Detection is more accurate for creating custom models any real based problem statements.

AI-Based Recommendation

This AI-based project offer the user the best recommendation results based on the history. The personalized recommendations are offered to the targeted users after the analysis of the data. The focus is to increase average order value i.e., to up-sell and cross-sell customers by providing product suggestions. The search done at a particular time zone and category offers the approach of the user while searching about the product.

• Reading data set and sorting by course rating.
• Concatenate multiple field and store in single column.
• Finding the cosine similarity between words.
• Finding the indices and weight_rating of words.
• Apply tfidf vectorization to analyse word on the basis of ngrams(NLP).

TunGo API - AI Based Marketing Analysis

TunGo Project where we created the API's with the AI model to extract the human count, car count, car size, human height from the video which is captured by a van.

This project consists of step by step integration of different modules that consist of AI, ML along with Data Science.

User would be able to see the real time statistics and insights of the advertisement that is being displayed on the van and also show the real time location of the van.

Artificial Intelligence-Enabled Apps for Education

Quytech, a top education app development company has developed a prominent edtech platform namely FutureNow. FutureNow is an Edtech platform where users are able to watch short videos of 2 minutes on various topics. With futurists, users can upload the videos, create course contents & chapters, and earn money.

Some of the Artificial Intelligence components included in FutureNow are:

• Emotion tracking
• Videos Transcription
• AI based study journey plan
• Smart recommendation system
• Motion detection