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Youssouf Benyettou's Projects

drug-descovery-project icon drug-descovery-project

With the rise of deep learning models and the successful result showing in different domains (such as Computer vision and Natural language processing)researchers and laboratories of chem-informatics try to apply these techniques in drug design and discovery. recently,the application of Deep Learning in this area of research has made a good progress but it is in the early stage and we can’t say that the results lead us to rational drug design,which mean designing new drugs without in Vivo and human trials. in this project project, we apply different machine learning models on drug design and discovery datasets with multiple tasks (each dateset has a task or goal to achieve from the analysis) after the evaluation and comparison of our results and the benchmarks we found that the huge problem is the small amount of data.

job-hunter-project icon job-hunter-project

In order to help students and job seekers in their journey of job hunting, from our experience we got the idea to start the project after the successful result of the first prototype that we build for personal use (massive job hunting). The app extract the data of given job (link of Linkedin or any job search platform) and use it to build a short insight that focus on the important key words, required Skills, level of education and information about the company. The extracted job data and the user data (Resume, Profile) will be used as input of the processing box (the sniper agency), It has Intelligente agent that use many tools and technique to produce results for example : The NLP text generator (we call it the philosopher) that produce a perfect motivation letter based on the input and some other predefined data. the second agent "The advisor" : it help the user to know the job skill set that he needs to master before applying to the job he is interested in, even we suggest online courses based on users rating, in general we use prediction models in this part.

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