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Project details
In the fast-paced world of research and development, keeping up with the latest studies and publications can be a daunting task. For professionals in fields such as healthcare, artificial intelligence, or academia, time is a critical resource. This project, "PubMed Article Summarization and Audio Conversion," aims to bridge the gap between extensive research articles and quick, actionable insights by automating the process of literature review. Using advanced natural language processing (NLP) and text-to-speech (TTS) technologies, this project not only simplifies research but also makes it more accessible to a broader audience.
What sets this project apart is its seamless integration of state-of-the-art transformer models like BART for text summarization and gTTS for audio conversion, allowing users to extract meaningful summaries from PubMed articles and convert them into audio for ease of consumption.
What sets this project apart is its seamless integration of state-of-the-art transformer models like BART for text summarization and gTTS for audio conversion, allowing users to extract meaningful summaries from PubMed articles and convert them into audio for ease of consumption.
Machine Learning Tools
Apache Spark MLlib, ArcGIS, BERT, Deeplearning4j, Google AutoML, H2O, Keras, MATLAB, Microsoft Excel, Minitab, NLTK, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, R, scikit-learn, SciPy, SQL, Tableau, TensorFlow, Weka, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$100
|
Standard
$200
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 4 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 2 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 5 | 2 | 3 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$20 - $50
Additional Revision
+$5
Additional Model Variation
(+ 1 Day)
+$5
Additional Graph/Chart
(+ 1 Day)
+$10About Pitchumani Angayarkanni
AI Researcher & Data Scientist | 22+ Years in Education
Bengaluru, India - 11:01 pm local time
Key Areas of Expertise:
AI in Healthcare: Developed and led research projects on cancer detection, tuberculosis imaging, and ocular disease recognition, using advanced machine learning and image processing techniques.
Curriculum Development: Designed and taught graduate-level courses in Data Science, AI, and Machine Learning, fostering a 20% increase in enrollment and preparing students for successful careers.
Mentorship & Collaboration: Guided over 50 postgraduate students in research, collaborating with international institutions and industry partners to secure grants and drive impactful projects.
I am dedicated to advancing AI research and education, creating innovative solutions for healthcare, and empowering the next generation of AI professionals.
Steps for completing your project
After purchasing the project, send requirements so Pitchumani Angayarkanni can start the project.
Delivery time starts when Pitchumani Angayarkanni receives requirements from you.
Pitchumani Angayarkanni works on your project following the steps below.
Revisions may occur after the delivery date.
Understand Client Requirements
Collect details from the client, including the topic or query for PubMed, preferred summary style (technical or simplified), and output format preferences (text, audio, or both).