Essossimna BESSEPOU@Thurel

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Looking for experience!

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🤝 Top Collabolators

I am Machine Learning Engineer with 3 years of experience in audio, video, text and image models. I have worked throughout the lifecycle of a Data Scientist including, data collection, data cleaning, generating insights from data, training models and model deploying. I love data science because i love the meaning from data. Skills including, TensorFlow, PyTorch, Scikit-Learn, Pandas, Numpy and more. Models that i have worked on: CNN (1D & 2D & 3D), UNET, Yolo, ResNet50 etc. Problems that i have solved : Audio Noise Removal, Object Detection, Video Classification, Regressive Analysis, Semantic Segmentation etc.

Azhan Khan

A Computer Science 3rd year student, frequently participating in LabLab's Hacks

Muhammad Ali Murtaza

🤓 Submissions

AI infused PubChem

The AI-Powered Medical Query Assistant is designed to provide users with quick, accurate answers about medicines, their uses, and potential side effects. By leveraging a vast dataset from PubChem, the app uses advanced AI techniques like sentence embeddings and FAISS indexing to process user queries efficiently. This tool benefits patients, caregivers, medical professionals, and researchers by offering easy access to critical drug-related information. It helps users make informed decisions about medications, avoid harmful side effects, and discover alternative treatments. With its user-friendly interface, this app ensures medical information is readily available for anyone seeking reliable health insights.

Hackathon link