Telegram Handle: @WFlemming_bot
The Walther Flemming Bot is a sophisticated yet user-friendly tool designed to facilitate the resolution of fundamental genetic and inorganic chemistry problems. It supports the following computations:
- Complementary gene interaction
- Blood type determination
- Chromosomal behavior analysis
- Polynomial calculations related to genetic sequences
- Stoichiometric conversions
- Basic chemical reactions analysis
- Molecular weights and balances determination
The bot processes user inputs and outputs results in clear, well-structured tables, making it an ideal educational tool for students, researchers, and professionals in the fields of biology and chemistry.
In future releases, the bot's capabilities will be expanded to include more complex problems and new features:
- Complex linkage analysis
- Quantitative trait loci (QTL) mapping
- Multi-gene interactions
- Non-Mendelian inheritance models
- Organic chemistry reaction mechanisms
- Equilibrium constants and advanced reaction kinetics
- Thermodynamic properties (e.g., Gibbs free energy, enthalpy)
A structured SQL database will be introduced to store and manage chemical elements and their properties, such as:
- Valency
- Atomic number
- Electron configuration
This database will enable efficient lookups and flexible queries, supporting both basic and advanced chemical data attributes in future versions.
- Programming Language: C#
- Telegram API: Managed via the
Telegram.Bot
library - Database: SQL database for chemical elements and their properties (to be integrated in future releases)
- Data Output: Dynamically formatted tables, with potential future export to CSV or Excel formats.
The following features are planned for future releases to enhance the bot's functionality and provide users with more advanced tools:
- Cloud Storage for Data: Persistent storage for calculations, allowing users to retrieve past results.
- Machine Learning Models: Predictive genetic calculations and chemical reaction suggestions based on input patterns.
- Complex Equation Solvers: Powered by integration with scientific libraries or custom algorithms for multivariate problem-solving.
This project is continuously evolving, with the goal of assisting users in handling increasingly complex scientific tasks while maintaining ease of use and accessibility.