Plant QA NLP Expert Needed
Budget: ₹12,500 – ₹37,500 INR
I am seeking a skilled individual with a strong background in Natural Language Processing (NLP) and Language Learning Models (LLM) to join our project focused on question answering systems, specifically within the domain of plant bacterial diseases. The ideal candidate will help develop a system capable of understanding and responding to queries related to various bacterial plant diseases, aiding in more accurate diagnosis and understanding.
I am in search of an individual with expertise in developing a plant disease visual question answering system. I possess a collection of plant disease images and aim to integrate them with plant ontology using Retrival augmented generation (RAG). The ultimate goal is to create a robust visual question answering system tailored to plant diseases. I am seeking someone who can not only develop the necessary code for image processing and recognition but also connect it seamlessly to a plant ontology database. The use of RAG will enhance the system's ability to reason and respond effectively to visual questions related to plant diseases. If you have the skills and experience for this project, I would like to discuss further details and potentially collaborate on this exciting endeavor.
**Key Responsibilities:**
- Develop an NLP model focused on visual question answering tasks.
- Train the model specifically on the subject of bacterial diseases in plants.
- Implement sentiment analysis to gauge the urgency or severity of inquiries.
- Ensure the system can classify and recognize named entities within plant disease diagnostics and treatment context.
**Ideal Skills and Experience:**
- Proven experience with NLP and LLM, particularly in question answering systems.
- Ability to gather, process, and analyze domain-specific datasets.
- Proficiency in programming languages used in NLP tasks (e.g., Python).
- Experience with NLP libraries and frameworks such as NLTK, SpaCy, or Pytorch.
This project not only requires technical expertise but also a passion for making a positive impact in the agricultural sector by leveraging technology. I am looking for someone who is ready to meet this challenge and contribute to a pioneering solution.
I am in search of an individual with expertise in developing a plant disease visual question answering system. I possess a collection of plant disease images and aim to integrate them with plant ontology using Retrival augmented generation (RAG). The ultimate goal is to create a robust visual question answering system tailored to plant diseases. I am seeking someone who can not only develop the necessary code for image processing and recognition but also connect it seamlessly to a plant ontology database. The use of RAG will enhance the system's ability to reason and respond effectively to visual questions related to plant diseases. If you have the skills and experience for this project, I would like to discuss further details and potentially collaborate on this exciting endeavor.
**Key Responsibilities:**
- Develop an NLP model focused on visual question answering tasks.
- Train the model specifically on the subject of bacterial diseases in plants.
- Implement sentiment analysis to gauge the urgency or severity of inquiries.
- Ensure the system can classify and recognize named entities within plant disease diagnostics and treatment context.
**Ideal Skills and Experience:**
- Proven experience with NLP and LLM, particularly in question answering systems.
- Ability to gather, process, and analyze domain-specific datasets.
- Proficiency in programming languages used in NLP tasks (e.g., Python).
- Experience with NLP libraries and frameworks such as NLTK, SpaCy, or Pytorch.
This project not only requires technical expertise but also a passion for making a positive impact in the agricultural sector by leveraging technology. I am looking for someone who is ready to meet this challenge and contribute to a pioneering solution.