What AI integration services does Fora Soft provide?

Fora Soft provides comprehensive AI integration services including AI assistants with face detection and speech-to-text, computer vision and object recognition, emotion recognition systems, AI-powered content generation, natural language processing, video analytics, ready AI service integration (ChatGPT, Azure AI), and custom AI model development.

Which AI technologies and platforms does Fora Soft work with?

We work with various AI platforms including OpenAI GPT, Whisper, AWS AI services, Microsoft Azure AI, Google Cloud AI, TensorFlow, PyTorch, and various Speech-to-text, Text-to-speech, and Text-to-text services. We select the optimal AI technologies based on specific project requirements and performance needs.

What industries benefit from Fora Soft's AI integration services?

Our AI integration services benefit e-learning platforms (smart search, automatic grading), video conferencing (AI transcription, virtual backgrounds), security and surveillance (object recognition, behavior detection), entertainment and music (playlist generation, recommendations), healthcare (emotion detection), and custom applications across various sectors.

How experienced is Fora Soft in AI development?

Fora Soft has 19+ years of multimedia development experience and has been actively integrating AI technologies since 2020. We specialize in video surveillance, e-learning, telemedicine platforms, and multimedia applications with advanced AI capabilities, staying current with rapidly evolving AI technologies.

Can Fora Soft integrate existing AI services or develop custom AI solutions?

Yes, we provide both services. We can integrate ready AI services like ChatGPT, Whisper, Microsoft Azure AI, and other third-party APIs into existing systems. We also develop custom AI models and complete AI-driven applications with individual planning and assessment based on specific business requirements.

What is included in Fora Soft's free AI consultation?

Our free consultation includes discussing your project goals and vision, recommending the best AI technologies for your needs, preparing a custom architecture plan, and providing initial requirements assessment. We also offer technology recommendations and project cost estimation.

AI Integration and AI-powered Software Development

Features

Advanced AI Agents

We build custom AI agents powered by advanced LLMs like GPT-5, GPT-4, Claude, Llama, and Mistral. These AI assistants help teams manage information by generating notes and summaries, transcribing meetings, extracting action items, analyzing documents, and answering questions from internal data. By linking a large language model (LLM) to reports, knowledge bases, templates, or training materials, you get an AI assistant that delivers fast, accurate insights and reduces manual work. This kind of AI agent development is perfect for creating learning content, building curricula, organizing documentation, and handling repetitive knowledge tasks at scale.

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.

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.

AI Integration and AI-powered Software Development