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Requirement: The client wanted to identify the free parking spaces available from live videos. Solution: DNJ Indiego developed a Computer vision and Deep Learning application that can detect free spaces for parking based on vehicle detection. Technology: Python, TensorFlow, OpenCVOUR PROJECTSRecent Portfolio All11AI & ML3Computer Vision5Data Analytics1NLP3 Parking Space Detection Computer Vision Olives Detection from [...]
Requirement: The client wanted to identify olives from trees. Solution: DNJ Indiego developed a Computer vision and Deep Learning application that can detect and count the number of olives from the images captured from robotic arms to determine the yield of olive production. Technology: Python, TensorFlow, OpenCVOUR PROJECTSRecent Portfolio All11AI & ML3Computer Vision5Data Analytics1NLP3 Parking [...]
Requirement: The client wanted to identify the live and dead cells from microscopic images. Solution: DNJ Indiego developed a Computer vision and Deep Learning application that can detect and count the number of live and dead cells from the microscopic image using image segmentation techniques. Technology: Python, TensorFlow, OpenCVOUR PROJECTSRecent Portfolio All11AI & ML3Computer Vision5Data [...]
Requirements: The quarterly operations review of the clients production line revealed a 3.6% increase in downtime, compared to the previous quarter. Client which is a biotech manufacturing company, faced issues which resulted in pipe blockages between reactor and the centrifuge. Solution: DNJ Indiego analyzed the online and previous historical data from the production line and [...]
  Requirements: DNJ Indiego was approached by the client to provide a solution that can train custom data. The client wanted the solution to train and create models for different industry sectors. Solution: We developed a framework (Graphical User Interface application) based on Deep Learning methods and TensorFlow that can be used to annotate and [...]
Requirement: Internal product developed by DNJ Indiego to convert documents to an editable format. Solution: Developed an OCR framework to enable converting the different documents (PDF, images etc.) to a digitally editable format such as .txt, CSV etc. The developed framework can analyze and convert different images like image of restaurant menus. The OCR application [...]
Requirements: The client is a travel agent in Europe, assisting customers book train and bus tickets for travel. In order to operate the bookings efficiently and reduce human overhead, the client wanted to develop a chat bot system to effectively help their customers book tickets. Solution: DNJ Indiego develop a Chat Bot application which performed [...]
Requirements: The client is a software development services company in Europe. The requirement was to develop a chat bot for their client, which was a restaurant. Solution: DNJ Indiego developed an AI-based chatbot solution which assists customers visiting the booking app with the following: Checking for Availability Making Reservation Modify Reservation Cancel Reservation Confirm Reservation [...]
Requirements: The client approached DNJ Indiego to analyze the sentiments from tweets. The requirement was to understand peoples emotions. Solution: We trained and developed a Twitter Sentiment Analysis supervised learning model using python, TensorFlow and NLP libraries. Key implementation steps included: Extraction - Fetch tweets using Twitter API keys. Preparation - Prepare dataframe for preprocessing [...]