You will get AI-Powered Meeting Transcription & Speaker Diarization
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Top Rated
Project details
You will receive a high-quality transcription and speaker diarization service tailored to your meeting recordings. With 8 years of experience in natural language processing and AI solutions, I specialize in delivering accurate, time-efficient transcriptions that differentiate between speakers and capture every detail. Whether for business meetings, interviews, or conference calls, my service ensures clarity, reliability, and actionable insights. My work is powered by advanced AI tools, guaranteeing precision and quality, and I strive to exceed client expectations with a client-focused approach.
AI Algorithms
Autoencoder, Large Language Model, Transformer Model, Variational AutoencoderAI Applications
AI Chatbot, AI Text-to-Speech, Conversational AI, Natural Language UnderstandingAI Development Language
PythonAI Tools
Gradio, PyTorch, Streamlit, TensorFlowAI Models
GPT-3, GPT-4, WhisperWhat's included $200
These options are included with the project scope.
$200
- Delivery Time 3 days
- Number of Revisions 1
- AI Model Integration
- Model Documentation
- Setup File
- Source Code
Optional add-ons
You can add these on the next page.
Additional Revision
+$50Frequently asked questions
37 reviews
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YI
Yeonjun I.
Feb 4, 2026
ADO057 | AI Agent Failure Annotation (Full Project) (Abhilash)
MT
Md Mehrab T.
Oct 14, 2025
ADO057 | AI Agent Failure Annotation (Test Project)
LS
Lois S.
Sep 9, 2025
ADO057 | AI Agent Failure Annotation (Test Project)
TN
Tom N.
Aug 15, 2024
AI podcast web application
Would hire again. Great work.
ML
Martin L.
Aug 5, 2024
Job categories process and fixes to query endpoint
Abhilash was a capable and rock solid performer who was always available and happy to come back with amendments and suggestions. Highly recommended.
About Abhilash
Experienced Deep Learning Engineer | Specializing in NLP and GenAI
100%
Job Success
Trivandrum, India - 3:43 am local time
My expertise extends to designing, training, testing, and deploying end-to-end applications using Django, Nginx, and Gunicorn on platforms such as AWS, Heroku, and GCP. I have a solid background in working with REST APIs and containers, ensuring smooth integration and deployment of AI solutions. 🚀
My technical toolkit includes:
🔸 Deep Learning Models: Keras, TensorFlow, PyTorch
🔸 Batch & Stream Processing: Spark SQL
🔸 Backend Development: PostgreSQL
🔸 AWS Services: S3, Kinesis, Dynamo DB, Elasticsearch, Redis via Boto3
In the NLP domain, I have worked on developing chatbots, data extraction pipelines, text classification, and sequence labeling. I have also finetuned large language models like GPT-3 and LLAMA for specific use cases.
In Computer Vision, I've worked on object detection, OCR models, player and ball tracking in sports analytics, video analytics and more. I have a track record of creating efficient models for fast processing and small memory usage.
In Generative AI, I have developed high-quality image generation models using stable diffusion and text generation models using OpenAI GPT models.
I've had the privilege to work with diverse remote teams from the USA, Russia, Germany, Japan, and the Philippines, honing my collaboration and communication skills.
Let's leverage AI to transform your business processes, enhance customer experiences, and unlock new opportunities. Reach out to discuss how we can collaborate to achieve your goals.
Looking forward to helping you bring your AI vision to life! 😊
Steps for completing your project
After purchasing the project, send requirements so Abhilash can start the project.
Delivery time starts when Abhilash receives requirements from you.
Abhilash works on your project following the steps below.
Revisions may occur after the delivery date.
Review Client files
Review the submitted audio file(s) and specify the number of speakers, accents, and any specific areas of focus (e.g., timestamps or key sections). Check ith client about additional details like technical terms or required languages.
Audio Preprocessing and Quality Assessment
Assess audio quality and perform necessary noise reduction to enhance clarity.