💫 About Me:

🔭 Currently working on a personal project in data science research focused on predicting the band gap of perovskites using the Material Project API and machine learning algorithms.
🫱🏻‍🫲🏼 Actively seeking collaboration opportunities in data science projects related to material science.
🤝 Looking for assistance in identifying labs or professors to collaborate with in future machine learning projects within the field of material science.
🌱 Continuously expanding my knowledge and skills in data analysis, visualization, and machine learning techniques.
💬 Feel free to reach out to discuss anything related to data science, machine learning, material science, or data-driven approaches in material discovery.
⚡ Fun fact: I find joy in exploring and extracting meaningful insights from complex datasets, unraveling the potential of data through the lens of science.

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Achraf_Chahbi's Projects

achraf110

Config files for my GitHub profile.

adtk

A Python toolkit for rule-based/unsupervised anomaly detection in time series

alamal-chatbot

Developed in collaboration with students from ENSAM-RABAT, this web app incorporates a chatbot powered by a Large Language Model, providing support for cancer patients in the early stages of therapy and chemotherapy. As the team leader for this project, I offer a demo of the chatbot app for free use. The project is open source, licensed under MIT.

band_gap_prediction

In this project , I have used an experimental Band gap of semiconductors Data from Matminer Library. Linear Regression and Random Forest Regression has been used, with the help of Pymatgen Library I has extracted some features from each Crystal structure. There has been 3895 Type of semiconductors that has been fed to the model.

genai_hackathon_atlasvoice

The AtlasVoice project aims to assist psychotherapist doctors by introducing a bot assistant and transcription generation. This initiative is designed to minimize the time spent on recorded sessions, allowing professionals to gain valuable insights into their patient interactions more efficiently.

graphenetools-py

Tools for generating parameters for helium on uniaxially strained graphene simulations using quantum Monte Carlo software hosted at https://code.delmaestro.org and plots of the helium graphene interaction.

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