ComputeGPT : Your Computational Companion

ComputeGPT : Your Computational Companion

ComputeGPT : Your Computational Companion

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Computegpt_landing
Computegpt_landing
Computegpt_landing

Welcome to ComputeGPT - Your Computational Companion

ComputeGPT is your one-stop solution for accurate and efficient mathematical problem-solving, powered by advanced LLM technology.

Our Mission

At ComputeGPT, our mission is to simplify complex mathematical problem-solving for users worldwide. We strive to provide a seamless and intuitive experience, enabling users to solve intricate computations effortlessly.

Frontend

  1. Complete Frontend code is deployed on Vercel: https://github.com/abhishek-yeole/computegpt

  2. Developement Tech Stack:

    • React JS

    • Material UI

    • Spline 3D

    • Framer Motion

Backend

  1. Simple API's: login, register,forgot, checklogin, etc. where developed using Flask and is deployed on Vercel: https://github.com/abhishek-yeole/computebotapi

  2. Developement Tech Stack:

    • Python Flask

    • Docker

Databases

  1. MySQL: For Simple API's MySQL database is used. Database is hosted on Freemysqlhosting site which provides 5MB database.

Wolfram Alpha Pro LLM and API's

The entire brain of the project is based on Wolfram Aplha's Computational models.

  • The API endpoint for prompt engineering and user query was built using Flask.

  • Then it is connected to the frontend in query and response format.

Input Constraints

  • WolframAlpha understands natural language queries about entities in chemistry, physics, geography, history, art, astronomy, and more.

  • WolframAlpha performs mathematical calculations, date and unit conversions, formula solving, etc.

  • Convert inputs to simplified keyword queries whenever possible (e.g. convert "how many people live in France" to "France population").

  • Send queries in English only; translate non-English queries before sending, then respond in the original language.

  • Display image URLs with Markdown syntax: ![URL]

  • ALWAYS use this exponent notation: 6*10^14, NEVER 6e14.

  • ALWAYS use {"input": query} structure for queries to Wolfram endpoints; query must ONLY be a single-line string.

  • ALWAYS use proper Markdown formatting for all math, scientific, and chemical formulas, symbols, etc.: '$$\n[expression]\n$$' for standalone cases and '( [expression] )' when inline.

  • Never mention your knowledge cutoff date; Wolfram may return more recent data.

  • Use ONLY single-letter variable names, with or without integer subscript (e.g., n, n1, n_1).

  • Use named physical constants (e.g., 'speed of light') without numerical substitution.

  • Include a space between compound units (e.g., "Ω m" for "ohm*meter").

  • To solve for a variable in an equation with units, consider solving a corresponding equation without units; exclude counting units (e.g., books), include genuine units (e.g., kg).

  • If data for multiple properties is needed, make separate calls for each property.

  • If a WolframAlpha result is not relevant to the query: -- If Wolfram provides multiple 'Assumptions' for a query, choose the more relevant one(s) without explaining the initial result. If you are unsure, ask the user to choose. -- Re-send the exact same 'input' with NO modifications, and add the 'assumption' parameter, formatted as a list, with the relevant values. -- ONLY simplify or rephrase the initial query if a more relevant 'Assumption' or other input suggestions are not provided. -- Do not explain each step unless user input is needed. Proceed directly to making a better API call based on the available assumptions.

Features

  • Step by step solution to Math-related problems:

    ComputeGPT offers a step-by-step breakdown of even the most intricate mathematical problems, ensuring a comprehensive understanding of the solution process.


  • LLM powered solutions:

    Empowered by the latest in Language Model technology, ComputeGPT provides highly accurate and reliable solutions to a diverse range of computational challenges.


  • Speech/Voice interface:

    Interact with ComputeGPT effortlessly using our intuitive voice interface. Ask complex math queries verbally and receive immediate, accurate responses.


  • Conversation Bot:

    Engage in a seamless conversation with ComputeGPT. Enjoy a continuous interaction experience as ComputeGPT comprehends and responds to your queries in a natural, conversational manner.

Welcome to ComputeGPT - Your Computational Companion

ComputeGPT is your one-stop solution for accurate and efficient mathematical problem-solving, powered by advanced LLM technology.

Our Mission

At ComputeGPT, our mission is to simplify complex mathematical problem-solving for users worldwide. We strive to provide a seamless and intuitive experience, enabling users to solve intricate computations effortlessly.

Frontend

  1. Complete Frontend code is deployed on Vercel: https://github.com/abhishek-yeole/computegpt

  2. Developement Tech Stack:

    • React JS

    • Material UI

    • Spline 3D

    • Framer Motion

Backend

  1. Simple API's: login, register,forgot, checklogin, etc. where developed using Flask and is deployed on Vercel: https://github.com/abhishek-yeole/computebotapi

  2. Developement Tech Stack:

    • Python Flask

    • Docker

Databases

  1. MySQL: For Simple API's MySQL database is used. Database is hosted on Freemysqlhosting site which provides 5MB database.

Wolfram Alpha Pro LLM and API's

The entire brain of the project is based on Wolfram Aplha's Computational models.

  • The API endpoint for prompt engineering and user query was built using Flask.

  • Then it is connected to the frontend in query and response format.

Input Constraints

  • WolframAlpha understands natural language queries about entities in chemistry, physics, geography, history, art, astronomy, and more.

  • WolframAlpha performs mathematical calculations, date and unit conversions, formula solving, etc.

  • Convert inputs to simplified keyword queries whenever possible (e.g. convert "how many people live in France" to "France population").

  • Send queries in English only; translate non-English queries before sending, then respond in the original language.

  • Display image URLs with Markdown syntax: ![URL]

  • ALWAYS use this exponent notation: 6*10^14, NEVER 6e14.

  • ALWAYS use {"input": query} structure for queries to Wolfram endpoints; query must ONLY be a single-line string.

  • ALWAYS use proper Markdown formatting for all math, scientific, and chemical formulas, symbols, etc.: '$$\n[expression]\n$$' for standalone cases and '( [expression] )' when inline.

  • Never mention your knowledge cutoff date; Wolfram may return more recent data.

  • Use ONLY single-letter variable names, with or without integer subscript (e.g., n, n1, n_1).

  • Use named physical constants (e.g., 'speed of light') without numerical substitution.

  • Include a space between compound units (e.g., "Ω m" for "ohm*meter").

  • To solve for a variable in an equation with units, consider solving a corresponding equation without units; exclude counting units (e.g., books), include genuine units (e.g., kg).

  • If data for multiple properties is needed, make separate calls for each property.

  • If a WolframAlpha result is not relevant to the query: -- If Wolfram provides multiple 'Assumptions' for a query, choose the more relevant one(s) without explaining the initial result. If you are unsure, ask the user to choose. -- Re-send the exact same 'input' with NO modifications, and add the 'assumption' parameter, formatted as a list, with the relevant values. -- ONLY simplify or rephrase the initial query if a more relevant 'Assumption' or other input suggestions are not provided. -- Do not explain each step unless user input is needed. Proceed directly to making a better API call based on the available assumptions.

Features

  • Step by step solution to Math-related problems:

    ComputeGPT offers a step-by-step breakdown of even the most intricate mathematical problems, ensuring a comprehensive understanding of the solution process.


  • LLM powered solutions:

    Empowered by the latest in Language Model technology, ComputeGPT provides highly accurate and reliable solutions to a diverse range of computational challenges.


  • Speech/Voice interface:

    Interact with ComputeGPT effortlessly using our intuitive voice interface. Ask complex math queries verbally and receive immediate, accurate responses.


  • Conversation Bot:

    Engage in a seamless conversation with ComputeGPT. Enjoy a continuous interaction experience as ComputeGPT comprehends and responds to your queries in a natural, conversational manner.

Welcome to ComputeGPT - Your Computational Companion

ComputeGPT is your one-stop solution for accurate and efficient mathematical problem-solving, powered by advanced LLM technology.

Our Mission

At ComputeGPT, our mission is to simplify complex mathematical problem-solving for users worldwide. We strive to provide a seamless and intuitive experience, enabling users to solve intricate computations effortlessly.

Frontend

  1. Complete Frontend code is deployed on Vercel: https://github.com/abhishek-yeole/computegpt

  2. Developement Tech Stack:

    • React JS

    • Material UI

    • Spline 3D

    • Framer Motion

Backend

  1. Simple API's: login, register,forgot, checklogin, etc. where developed using Flask and is deployed on Vercel: https://github.com/abhishek-yeole/computebotapi

  2. Developement Tech Stack:

    • Python Flask

    • Docker

Databases

  1. MySQL: For Simple API's MySQL database is used. Database is hosted on Freemysqlhosting site which provides 5MB database.

Wolfram Alpha Pro LLM and API's

The entire brain of the project is based on Wolfram Aplha's Computational models.

  • The API endpoint for prompt engineering and user query was built using Flask.

  • Then it is connected to the frontend in query and response format.

Input Constraints

  • WolframAlpha understands natural language queries about entities in chemistry, physics, geography, history, art, astronomy, and more.

  • WolframAlpha performs mathematical calculations, date and unit conversions, formula solving, etc.

  • Convert inputs to simplified keyword queries whenever possible (e.g. convert "how many people live in France" to "France population").

  • Send queries in English only; translate non-English queries before sending, then respond in the original language.

  • Display image URLs with Markdown syntax: ![URL]

  • ALWAYS use this exponent notation: 6*10^14, NEVER 6e14.

  • ALWAYS use {"input": query} structure for queries to Wolfram endpoints; query must ONLY be a single-line string.

  • ALWAYS use proper Markdown formatting for all math, scientific, and chemical formulas, symbols, etc.: '$$\n[expression]\n$$' for standalone cases and '( [expression] )' when inline.

  • Never mention your knowledge cutoff date; Wolfram may return more recent data.

  • Use ONLY single-letter variable names, with or without integer subscript (e.g., n, n1, n_1).

  • Use named physical constants (e.g., 'speed of light') without numerical substitution.

  • Include a space between compound units (e.g., "Ω m" for "ohm*meter").

  • To solve for a variable in an equation with units, consider solving a corresponding equation without units; exclude counting units (e.g., books), include genuine units (e.g., kg).

  • If data for multiple properties is needed, make separate calls for each property.

  • If a WolframAlpha result is not relevant to the query: -- If Wolfram provides multiple 'Assumptions' for a query, choose the more relevant one(s) without explaining the initial result. If you are unsure, ask the user to choose. -- Re-send the exact same 'input' with NO modifications, and add the 'assumption' parameter, formatted as a list, with the relevant values. -- ONLY simplify or rephrase the initial query if a more relevant 'Assumption' or other input suggestions are not provided. -- Do not explain each step unless user input is needed. Proceed directly to making a better API call based on the available assumptions.

Features

  • Step by step solution to Math-related problems:

    ComputeGPT offers a step-by-step breakdown of even the most intricate mathematical problems, ensuring a comprehensive understanding of the solution process.


  • LLM powered solutions:

    Empowered by the latest in Language Model technology, ComputeGPT provides highly accurate and reliable solutions to a diverse range of computational challenges.


  • Speech/Voice interface:

    Interact with ComputeGPT effortlessly using our intuitive voice interface. Ask complex math queries verbally and receive immediate, accurate responses.


  • Conversation Bot:

    Engage in a seamless conversation with ComputeGPT. Enjoy a continuous interaction experience as ComputeGPT comprehends and responds to your queries in a natural, conversational manner.

Let's Connect!

Let's Connect!

Let's Connect!

© Copyright 2023. All rights Reserved.

Made by

Abhishek

in

© Copyright 2023. All rights Reserved.

Made by

Abhishek

in

Available for Work

Available for Work