DEV
Gul Hassan@gh49
is under improvement
9
Events attended
5
Submissions made
Data Analyst ML Developer
Pakistan
1 year of experience
About me
Hi my self Gul hassan, currently enrolled in Information technology. I work on ML as well as can deploy ml web on streamlite or hugging face also solve coding problems furthermore I had idea about mlops
I built with
AudioCraftis under improvement
🤝 Top Collabolators
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🤓 Submissions
Help Nature by saving Ecosystem
Every species on earth contributes in the balance of ecosystem.Birds are also an essential part of our ecosystem. They help to pollinate plants, control insect populations, and disperse seeds. But birds are in trouble. As over 1 in 5 bird species is now threatened with extinction. Monitoring changes in bird species numbers can reveal the effectiveness of restoration projects. Traditional observer-based surveys for this purpose are costly and logistically challenging. In contrast, passive acoustic monitoring (PAM) combined with machine learning tools enables cost-effective, large-scale, and high-temporal-resolution assessments of the impact of restoration efforts on biodiversity.
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SAP Navigator
The vast amount of data stored within an enterprise resource planning (ERP) system like SAP B1 holds immense potential for driving informed decisions and business growth. However, for many companies utilizing SAP B1, extracting valuable insights can be a significant hurdle, especially for non-technical users. Traditional methods often involve complex SQL queries, reliance on IT support, or time-consuming manual data extraction. These roadblocks restrict data accessibility and hinder the ability of non-technical personnel to contribute to data-driven decision-making. SAP Navigator steps in as the solution to this challenge. Designed with user-friendliness at its core, SAP Navigator empowers everyone, regardless of technical expertise, to effortlessly access and analyze data from their SAP B1 database. No longer will complex queries or tedious manual processes stand in the way of valuable insights.
Healthomatic
Problem: In Canada alone patients wait up to 20hr for ER Solution: Healthomatic An AI Triaging tool which prioritizes patients to cutdown waiting time in Healthcare: ER, General Practioner visits, Mental Health. By providing doctors with information about symptoms and preliminary diagnoses. Features: * AI Triage system * Speeds up Diagnosis process by providing preliminary diagnosis * Saves time asking for Symptoms Triage categorizes patients based on the severity of their condition (Emergency, Priority, Non-urgent). This allows medical staff to prioritize those in critical condition, ensuring they receive immediate attention and care. By addressing urgent cases first, waiting times for critical patients are significantly reduced. Triage helps allocate resources effectively. By identifying patients who require immediate intervention versus those who can wait, medical staff can allocate personnel, equipment, and space accordingly. This ensures that resources are directed where they are most needed, optimizing efficiency and reducing overall waiting times.
