Ibrohim Abdivokhidov@abdibrokhim
is under improvement
55
Events attended
8
Submissions made
Author of few Research Papers
Uzbekistan
3 years of experience
About me
Skilled developer & AI mentor with expertise in mobile app development (Flutter, Dart, GraphQL) and automation (Zapier, Python, Telegram API). Reduced report time by 60% for GreenWay Logistics through a custom app and automated 10+ workflows. Created AI tutorials & interactive demos for 100k+ Lablab.ai community members, covering 100+ tools & concepts. Mentored 10k+ teams, guiding them through technical challenges. Collaborated with experts to identify emerging AI trends. Improved Souk mobile app performance by 60% and built 50+ reusable widgets. Wrote research paper, Abdivokhidov Ibrohim, Mohamed Uvaze Ahamed Ayoobkhan (2024). Machine Learning-Based Image Classification with COREL 1K Dataset. Springer. [Indexed in Scopus]. Selected as one of the Top 5% participants in the 14 days challenge organised by Ibrat Academy. Became Registon LC Scholar of 2023 by surpassing 80,000+ participants and awarded 4 months of free education. Successfully completed 10+ services with 100% success.
is under improvement
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๐ฅ Own Projects
๐ค Submissions
AIDiary
This project is for kids.It uses NLP to Generate stories,Analyze mood and topics of a diary entry and generate python code from English instructions.
Report Cruncher
Report Cruncher is a cutting-edge financial analysis platform designed to simplify financial reports for retail investors. Report Cruncher provides powerful insights through machine learning to empower retail investors to make informed decisions and achieve success in the stock market. The platform is user-friendly, accessible, and designed to meet the unique needs of retail investors at every level of expertise. By leveraging the GPT-3 Curie model fine-tuned with the ECTSum dataset, Report Cruncher can provide users with easy-to-understand financial data, allowing them to quickly identify the most important information in a report. The advanced machine learning algorithms and user-friendly interface make it the perfect tool for anyone looking to make informed investment decisions. Report Cruncher's success depends on attracting and keeping subscribers through a subscription-based model. The platform is designed for retail investors, defined as nonprofessional investors who use their own money to buy and sell securities. Retail investors accounted for more than 20% of all stock market shares traded and accounted for more than $84 trillion in trades in 2021. With a subscription model, Report Cruncher will provide a sustainable revenue stream while empowering retail investors to make informed decisions in the stock market. The platform is constantly evolving, with plans to introduce chained prompts, a series of prompts that build on each other to produce a final summary, to provide users with more in-depth analysis and a more comprehensive understanding of the financial reports they're analyzing. With sufficient funding, the team plans to fine-tune the Davinci model to get even better results.
RevAIve
A consultancy firm for businesses struggling to survive in the AI revolution. Spearheaded by a chatbot that helps with automating the initial steps ๐ค. Backed by humans with expertise in the latest AI tools and the knowledge to implement them in any business use case ๐งโโ๏ธ. We talk to businesses in the industries affected by the recent AI explosion. Our chatbot helps them identify key areas of improvement. Our team makes a โTome of Revivalโ, highlighting the roadmap. We then help implementing the latest AI tech in the businessโs pipeline. Not only reviving but potentially enabling them towards exponential growth.
