DEV
Abdel Latrache@latrache_abdelfettah473
is under improvement
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Events attended
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Submissions made
software engineer and co-founder
Germany
5 years of experience
About me
Hi I'm Abdel, Software engineer, with over 5 years of experience, focused on. Microservices architecture for building scalable software, Microsoft hackathon winner and Startup in the making E-now, strong team communication, and collaboration. I believe in the team, and every resource should be invested in. my motto is "Perseverance and curiosity will make your ideas shine"
is under improvement
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🤓 Submissions
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.
