Closed prakmaurya closed 6 months ago
Hello dear mentors,
I am Prakriti Maurya, an undergraduate sophomore pursuing Bachelors in Technology in Computer Science and Artificial Intelligence from Indira Gandhi Delhi Technical University for Women. My field of interests are creative writing, machine learning and competitive programming. I am also decent in UI/UX.
I was introduced to Outreachy by one of my seniors in college. I myself being a self-taught learner believe that open source contributions and collaborations are one of the best way of development and growth. Hence, I was motivated to join this program and add more value to projects through my contributions.
Ersilia Open Source Initiative's vision of integrating ML in healthcare and making healthcare more accessible aligns fairly with my vision and compassion. I have also been a part of research work in the same domain previously which aimed to use ML in medical analysis. In that project, I had worked with PhD scholars to conduct literature reviews and find research gaps on the use of LLMs in gastroenterology and gynecology. I have also worked previously on some ML models and data science projects.
My belief of making our lives better with the use of ML and technology resonates well with Ersilia. I am excited to work in this project and add more value to it. I am looking forward to keep learning and improving my skills with this project and make meaningful contributions to this project.
Switching to eos6oli model because the eos30gr model keeps giving null as outcome. I tried to fetch and run the eos30gr model multiple times yet it gave null as outcome.
(ersilia) prakr@ASUS-VivoBook-K15:~$ ersilia run -i "C1=C(SC(=N1)SC2=NN=C(S2)N)[N+](=O)[O-]"
{
"input": {
"key": "NQQBNZBOOHHVQP-UHFFFAOYSA-N",
"input": "C1=C(SC(=N1)SC2=NN=C(S2)N)[N+](=O)[O-]",
"text": "C1=C(SC(=N1)SC2=NN=C(S2)N)[N+](=O)[O-]"
},
"output": {
"outcome": [
null
]
}
}
Hi @prakmaurya
If it is giving Null outputs, it means there is probably an error in model fetching (for example a package not installing correctly). Can you let me know:
Week 1 - Get to know the community
Week 2 - Get Familiar with Machine Learning for Chemistry
Week 3 - Validate a Model in the Wild
Week 4 - Prepare your final application