AI Integration and AI-powered Software Development

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features
industries
technologies
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Features

Object Recognition

We can develop AI-powered applications with object recognition functionality to detect various objects in videos, such as cars, road signs, traffic lights, and more. For instance, the system can identify areas where parking is not allowed. If a car remains in this zone beyond the designated time, the system will detect the car's license plate number, send a notification to the operator, and issue a fine to the driver automatically.

Anomaly Detection

The AI integration of anomaly detection features helps identify unusual activities or events that may indicate security threats. We can detect abandoned objects, unauthorized access, or perimeter intrusion in real-time video streams, enhancing security through predictive analytics.

Facial Detection and Recognition

We can develop a feature for detecting faces that can precisely overlay interactive masks and filters on the user's face, similar to the functionalities seen on Instagram or Snapchat. Furthermore, it offers intelligent software solutions with AI-powered image and video processing tools, including beautification retouch presets.

Similarly, for security systems, we can integrate facial recognition to identify individuals by accessing a database of known faces. Both of these features can assist in crowd management. We can add AI algorithms that analyze crowd density and movement to ensure public safety in crowded areas or events, utilizing computer vision applications.

Emotion Recognition Dynamics

As part of facial recognition functionality, we implemented an AI algorithm that analyzes users’ emotions as they browse daily news digest. The system captures snapshots of their face, sending them to a machine learning development model. Based on the analysis, it categorizes emotions as happy, neutral, or upset for each article and monitors emotional trends throughout the week.

Additionally, our AI solutions analyze users' emotions through their voices. They can record how they feel after reading the article in an audio journal, and the system will analyze the voice recording to determine their emotions using voice recognition technology.

Fire/Smoke/Intruder Detection

We can also distinguish between various events in videos, such as car/human intrusion, smoke, fire, and more. Our AI algorithms detect these events, outline and label them on the recording, and promptly notify admins about the ongoing situation, enhancing overall safety through automation solutions.

AI Voice Assistant

We create AI-powered applications that function on screens during interactions, leveraging the Face Detection feature powered by Microsoft Azure AI Face Service. The system detects users and converts their requests into text using Microsoft Azure Cognitive Services' Speech-to-Text technology. The response can be an answer to specific user inquiries or even an action. For instance, users can access premises using voice commands, where they state their name and password to the virtual assistant. If the credentials are valid, the doors will open automatically.

GPT-based Assistant

Another type of custom AI assistant solution we can develop is a GPT-powered assistant. It can significantly improve data management by generating notes and summaries, transcribing video meetings, and extracting key highlights. Integrating large language models (LLMs) with user data such as company reports, templates, or learning materials enables seamless and rapid access to all essential information. This can be particularly useful for tasks such as creating learning courses or developing curricula for educational institutions, showcasing the benefits of AI integration in software development.

Learning Course and Curriculum Generation

We develop AI solutions for e-learning applications that simplify course creation and curriculum development for schools and colleges. Professors can input specific course goals, objectives, subject focus, and difficulty levels. Then, the system generates a detailed plan for each class and the entire course, including tests and quizzes for students. Professors can then export the course draft in various formats, enhancing the learning experience through data-driven decision making.

Content Generation

There are many third-party tools available for creating content like images or videos. We can easily integrate these services into your software to meet your needs. For instance, users can enhance visual appeal with AI-generated virtual backgrounds. They describe their preferences, generating stunning visuals for a personalized meeting environment.

Notes&Tabs Auto Notation

For the music learning systems we’ve implemented a feature that allows teachers to effortlessly share music sheets with students during live video lessons. By automatically transcribing their playing into notes or tabs, teachers can instantly provide students with visual representations of the music. We also can develop it as a smart scoring feature that allows for real-time assessment of student performance to enhance the learning experience.

Dynamic Playlist Generation

We also developed playlist generation functionality for the DJ pool. Users can request personalized playlists using voice commands to specify genres, BPM, artists, and more. Our AI technology integration interprets these requests, sifts through the database, and creates customized playlists, seamlessly blending algorithms with human preferences. The system responds only within a defined context, ensuring accuracy and relevance.

Recommendation Systems

For analytical purposes, we can add an AI component that analyzes user behavior. It segments users and provides personalized AI recommendations tailored to each user segment, even down to the individual user level. This can be applied in streaming services to analyze viewing history and genre preferences, or in e-learning platforms to track course enrollments, lesson completions, quiz scores, and time spent on various topics. Our recommendation systems can leverage deep learning solutions to enhance accuracy and relevance.

Industries

We develop custom AR/VR solutions across various industries:
🏫 Education
Smarter search and automatic grading, enhanced engagement, and personalized AI learning experiences.
🎥 Video conferencing
AI-powered transcription and virtual background generation for real-time chat applications.
🛡️ Security and Surveillance
Object recognition, anomalies and unusual behavior detection, face recognition, and crowd management using natural language processing (NLP).
🕹 Entertainment and Music
Playlist generation, personalized music recommendations for video and audio streaming applications.
🌟 Customized Apps
Beyond specific industries, we can address your requirements across various sectors. Whether it's AI in healthcare, AI in e-commerce, or real estate management, integrating AI enhances adaptability and efficiency.

Technologies

  • Speech-to-Text Microsoft Azure Cognitive Services
  • OpenAI API (ChatGPT, Whisper)
  • Face Detection of Microsoft Azure AI Face Service
  • PyTorch, TensorFlow
  • YOLO
  • Python
  • Text-to-Speech Microsoft Azure Cognitive Services
  • LangChain
  • PineCone

Devices

We integrate AI into projects across various devices, including native mobile apps for iOS and Android, web platforms, and desktop applications.

Costs

Integration of a ready AI service

~ 1 week · $3,200
We can integrate a ready AI service into your system, like Chat GPT, Whisper, Microsoft Azure AI Face Service, Text-to-Speech Microsoft Azure Cognitive Services and others.

Creating a custom AI model

~ from 1 month · $6,400
Creating a custom AI model or developing a complete AI-driven app is a more challenging task that requires individual planning and assessment. Contact us, and we'll discuss your unique requirements.

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