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Hire AI Developer with TRooTech - Prominent AI-Driven Solutions Provider

25+

AI Developers for Hire

Hire AI developers and design user-centric, data-driven AI solutions with our modern Machine Learning, Deep Learning, data mining, analytics, and visualization services.
 

150+

Projects Deployed

Our diligent AI developers use their in-depth knowledge to provide a streamlined development process and high-quality AI solutions. 

2500+

Man Hours

Improve customer services and business processes with our skilled professionals. Our developers work tirelessly to assist you with premium AI-driven software solutions.   

25+

Countries Served

We have served diverse global businesses with our contemporary AI services.  

21+

Industries Covered

Our team comprises industry specialists who can design AI-powered software solutions tailored to the specific needs of the particular industry. 

98%

Client Satisfaction Rate

Our developers ensure successful product development and client satisfaction via excellent skills and thorough testing. 

From conceiving and crafting cutting-edge AI solutions to seamlessly connecting data sources and APIs, our AI developers excel at tackling intricate problems by forging connections between artificial intelligence systems and software components

Stepping Stones from Our Milestones

Search Engine for Web Applications

Search Engine for Web Applications

Challenges

The application required a robust search mechanism to explore through a vast database of resumes and policies stored in Elasticsearch to deliver accurate results based on user queries. Additionally, the application needed a feature capable of web crawling websites to gather relevant content when necessary, adding complexity to data retrieval. 

Solutions

We implemented comprehensive solutions to address these challenges while leveraging the specified technologies. Firstly, we developed a powerful search mechanism that utilized the capabilities of the Haystack transformer models, enabling precise searching through the Elasticsearch database. This mechanism ensured that user queries yielded accurate results, enhancing the overall user experience. Web crawling functionality using Selenium and Beautiful Soup allowed the application to extract further enriched search results and deliver relevant content from websites.

Audio-Video Analysis Tool

Challenges

The application must accurately extract and analyze acoustic features from audio and video files, requiring strong audio processing capabilities. It also had to identify and highlight grammatical mistakes within the transcribed content, adding a layer of natural language processing (NLP). The seamless integration of a diverse technology stack, including Python, whisper model, language tool, myprosody, kaldi, wav2vec, Amazon SQS, Amazon S3, MongoDB, and ffmpeg to ensure the application's consistent performance and reliability.

Solutions

We used Kaldi and wav2vec to design robust audio processing capabilities, allowing the application to extract acoustic features from audio and video files accurately. It ensured that users could access detailed auditory information efficiently. We also incorporated the Whisper model to enable advanced analysis of speech patterns. Integration of LanguageTool and myprosody helped to identify grammatical mistakes by utilizing natural language processing on the transcribed content. 

Audio-Video Analysis Tool

Chatbot_ Retrieving Answers from Database Documents

Chatbot: Retrieving Answers from Database

Challanges

Firstly, the chatbot needed a feature to process user queries and retrieve accurate answers from the relevant documents stored in the database. This demanded thorough natural language understanding capabilities to comprehend user questions and extract relevant information. Additionally, document retrieval integration from MongoDB and Elasticsearch for data access and synchronization made the task more complex.

Solutions

We developed advanced natural language understanding capabilities using Rasa, enabling the chatbot to comprehend user queries, extract the intent and entities related to document requests. Then our team integrated both MongoDB and Elasticsearch for quick data access. MongoDB provided a strong document storage solution, while Elasticsearch enhanced search capabilities, allowing the chatbot to locate relevant documents swiftly. PdfTron facilitated document parsing and extraction of information, enabling the chatbot to fetch precise answers.

Change Detection Studies on Antarctic Coastal Region

Challenges

The task involved developing an AI-powered solution that can calculate changes in a vast and remote area, requiring a highly effective and accurate algorithm. The project's duration of one year imposed time-sensitive development constraints, necessitating a streamlined workflow for algorithm creation and implementation. Additionally, Synthetic Aperture Radar (SAR) images presented image processing and data analysis complexities.

Solutions

We developed an advanced algorithm with an improved neighborhood-based ratio approach for change detection in SAR images. This algorithm enabled precise and automated calculation of changes in the Antarctic coastal region. We utilized Python, OpenCV, and GDAL for efficient image processing and analysis, providing optimal tools for handling SAR images and geospatial data. These technologies ensured that the algorithm could process large volumes of data accurately and swiftly.

Change Detection Studies on Antarctic Coastal Region

Lead Classification

Lead Classification Tool

Challenges

The module aimed to categorize visitors into hot, warm, or cold classes for a particular stall, which demanded the implementation of Machine Learning algorithms on the data. The project's duration of four months imposed time-sensitive development constraints, necessitating efficient model development and integration. 

Solutions

We designed and implemented machine learning algorithms, including K-means and K-nearest neighbors (KNN), to categorize visitors based on their interactions with a particular stall. These algorithms accurately classified leads into hot, warm, or cold categories. We utilized MongoDB, Pandas, and NumPy for efficient data management and retrieval, providing fitting tools for handling visitor data and model predictions. These technologies ensured that the module could process and categorize leads accurately. Integrating REST API allowed seamless integration with other systems for easy communication and data exchange.

OpenAI Proof of Concept

Challenges

The primary challenge was to evaluate the feasibility of utilizing OpenAI APIs for critical tasks like data pre-processing, text classification and summarization in the context of software testing. Data preprocessing required cleaning error log datasets, and text summarization demanded effective model selection and tuning. The challenge for text classification was to achieve high accuracy by transforming text into vector representations and training Machine Learning models. 
 

Solutions

We implemented a comprehensive set of solutions to address these challenges while leveraging Python and OpenAI models. For data pre-processing, we conducted thorough data cleaning of error log datasets to ensure data quality and consistency. In text summarization, we experimented with different OpenAI models, including fine-tuning temperature and maximum token settings. We explored various prompts to optimize text summarization and analyze the results. DaVinci AI model yielded improved results for this task.

OpenAI Proof of Concept

Brain Tumour Classification

Brain Tumors Classification

Challenges

The primary challenge was to develop a deep learning model capable of identifying the parameters that distinguish and identify brain images with tumors. The project focused on grayscale image datasets, and the first challenge was to split the data into training and validation sets effectively. Normalization and rescaling were critical to ensure that the convolutional neural network (CNN) received consistent and accurate data. Implementing convolutional operations, max pooling, and flattening required careful design and optimization.

Solutions

For data preparation, we executed a meticulous training-validation split to ensure the model learned from a representative dataset. Normalization and rescaling were applied to maintain data consistency and facilitate CNN training. Our solution's core was designing and implementing a convolutional neural network. Relevant features in the brain images were captured by careful configuration of convolution operations and max pooling. Flattening transformed the data for dense layer processing.  Building the neural network model was a critical step. We carefully defined the architecture and layers to extract relevant parameters for brain tumor classification. Training the model was an iterative process of fine-tuning hyperparameters and monitoring performance.

Technical Expertise of Our AI Developers

  • Languages

  • Python TypescriptSQLC++ JavaScript C#CoffeeScriptJuliaRJavaScalaSwift
  • Frameworks

  • TensorFlow PyTorchScikit-learnXgboost TheanoCaffeMxNetAuto MLCNTK
  • Data Management

  • OpenML ImgLabOpenCVFivetran Talend Singer DatabricksSnowflakePandasSparkTableau Tecton FeastDVCPachydermGrafanaCensiusFiddler
  • Model Management

  • TensorFlow ONNXKerasPyCharmVS CodeJupyterW&BNeptuneKubeflowCometCensiusEvidently
  • Deployment and Monitoring

  • Cortex TFXTorchServeKubeflowDocker FlyteAzureOracleVmwareCensiusSeldonCore Functionize Functionize SageMaker
  • Neural Networks

  • Convolutional and Recurrent Neural Networks (LSTM, GRU, etc.) Autoencoders (VAE, DAE, SAE, etc.) Generative Adversarial Networks (GANs)Deep Q-Network (DQN)Feedforward Neural Network Radial Basis Function NetworkModular Neural Network
  • PM Tools

  • Jira TrelloSlackAsanaAzureDevOpsHubstaff Tasks
  • Communication Tools

  • Slack Hangout
  • Meeting

  • Google MeetZoom GotoMeeting

Leverage cutting-edge AI services for your evolving business requirements

Hire AI Developer- Exceptionally Talented

At TRooTech, we provide contemporary AI solutions. Our developers are skilled in AI technology like Machine Learning, Deep Learning, Data Mining, etc. They develop data-driven and user-centric AI solutions. Our proficient AI developers assist you with innovative integration and system-level automation with their skills and knowledge. Transform your business, hire AI developer from TRooTech, and enhance your customer experience while augmenting operational efficiency.

Comprehensive AI Services Provided by Our Developers

AI Consulting

Upgrade your IT infrastructure with a suitable combination of AI technology. Improve your business performance with smart AI integrations. Get expert guidance from our AI specialist to design, build and deploy successful AI solutions. 
 

AI Development

We have a talented team of AI developers for hire. They design personalized AI solutions that match your business requirements and current market trends. Hire our industry-certified AI developers to develop tailored AI solutions.

AI Design and Integration

Be it integrating AI into existing IT infrastructure or designing one from scratch, our amazing skills and modern tech stacks can help you with both. We understand and analyze your current system to plan a suitable AI design and integration strategy specifically for your business. 
 

Hire AI Developer From the Best Source

Unlock the full potential of AI for your business augmentation

Hire AI Developer
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Better Decision-Making

Integrate AI into your system to gain valuable insights and make better data-driven decisions based on accurate analysis of customer behavior and preferences. 

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Increased Productivity

Optimize your operations by automating mundane, time-consuming tasks with AI. This will save a lot of time for your employees and help them focus on more important tasks. Thus, minimizing time and cost while maximizing the talent of human resources. 

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Personalized Customer Services

AI can help you create a personalized experience for your customers by studying their individual and larger data sets to understand their patterns and behaviors. This AI feature has been of great advantage in numerous areas including healthcare and streaming services.

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Reduced Human Errors

AI integration not only automates but also reduces the chances of human-made errors. It can also be trained to improve and take up broader tasks to deliver high-quality, error-free results. This is especially beneficial in the financial sector.

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Increased Profitability

AI offers numerous benefits, like, risk management, innovative solutions, better control, and many more. This improves productivity, reduces cost, and creates growth opportunities. In the longer run, this can deliver high profitability for the organization.

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Industry-Specific Advancements

Various AI-driven solutions can be designed to cater to the needs of a specific industry. From retail businesses to pharmaceutical companies and financial institutions to education. There is a diverse range of industry-specific solutions to transform every possible domain.

Hire the Best AI Developers for Your Next Project

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