Submission-Devesh

README.md

@@ -1,26 +1,30 @@
-# Empowering-Investors-Hackathon
-
-## Submission Instruction:
-  1. Fork this repository
-  2. Create a folder with your Team Name
-  3. Upload all the code and necessary files in the created folder
-  4. Upload a **README.md** file in your folder with the below mentioned informations.
-  5. Generate a Pull Request with your Team Name. (Example: submission-XYZ_team)
-
-## README.md must consist of the following information:
-
-#### Team Name -
-#### Problem Statement - 
-#### Team Leader Email -
+#### Team Name - Devesh    
+#### Problem Statement - Content Curation Education + Identifying Misleading Claims
+#### Team Leader Email - [email protected]
 
 ## A Brief of the Prototype:
-  This section must include UML Diagrams and prototype description
+A WhatsApp chatbot catering to traders and investors, our solution empowers users to communicate and inquire in their regional languages. The chatbot offers versatile functionalities:
+-->users can seek recommendations for topic-specific videos in natural language
+-->ask questions specific to videos in their mother tongue (both by typing or in voice note) and can have interaction like ChatGPT
+-->assess content authenticity by sharing links of  youtube-videos, Instagram reels , articles, posts from telegram groups
+
 
 ## Tech Stack: 
-   List Down all technologies used to Build the prototype
+ We harness the power of Large Language models (LangChain&LLAMA) to efficiently analyze extensive online content.
+
+Integration with WhatsApp: Our solution seamlessly integrates  processed data into chatbot,offering users easy access to insights.
+
+AWS Infrastructure: To handle complexity of model, we utilize AWS services(EC2), ensuring scalability.
+
+Data Storage: Results are stored in vector databases, optimizing data retrieval, providing quick access to relevant information.
+
+Automated Web Content Retrieval: Python scripts automate the process of fetching content from web, ensuring timely data acquisition.
+
+Streamlined Information Delivery: Through this synergy of technology & automation, we deliver reliable information to users in user-friendly format.
 
 ## Step-by-Step Code Execution Instructions:
-  This Section must contain a set of instructions required to clone and run the prototype so that it can be tested and deeply analyzed
+ To run this whatsapp bot along with crawwler You can dowload trained model from this [link](https://gpt4all.io/models/ggml-gpt4all-j-v1.3-groovy.bin). Also generating Twilio API key to integrate with python SDK.
 
 ## What I Learned:
-   Write about the biggest learning you had while developing the prototype
+   It was really exciting on working on problem of this magnitude and impact. We managed to come up with a very promising solution that leverages GenAL and Large Language Models
+

submission-Devesh/readme.md

@@ -0,0 +1,30 @@
+#### Team Name - Devesh    
+#### Problem Statement - Content Curation Education + Identifying Misleading Claims
+#### Team Leader Email - [email protected]
+
+## A Brief of the Prototype:
+A WhatsApp chatbot catering to traders and investors, our solution empowers users to communicate and inquire in their regional languages. The chatbot offers versatile functionalities:
+-->users can seek recommendations for topic-specific videos in natural language
+-->ask questions specific to videos in their mother tongue (both by typing or in voice note) and can have interaction like ChatGPT
+-->assess content authenticity by sharing links of  youtube-videos, Instagram reels , articles, posts from telegram groups
+
+
+## Tech Stack: 
+ We harness the power of Large Language models (LangChain&LLAMA) to efficiently analyze extensive online content.
+
+Integration with WhatsApp: Our solution seamlessly integrates  processed data into chatbot,offering users easy access to insights.
+
+AWS Infrastructure: To handle complexity of model, we utilize AWS services(EC2), ensuring scalability.
+
+Data Storage: Results are stored in vector databases, optimizing data retrieval, providing quick access to relevant information.
+
+Automated Web Content Retrieval: Python scripts automate the process of fetching content from web, ensuring timely data acquisition.
+
+Streamlined Information Delivery: Through this synergy of technology & automation, we deliver reliable information to users in user-friendly format.
+
+## Step-by-Step Code Execution Instructions:
+ To run this whatsapp bot along with crawwler You can dowload trained model from this [link](https://gpt4all.io/models/ggml-gpt4all-j-v1.3-groovy.bin). Also generating Twilio API key to integrate with python SDK.
+
+## What I Learned:
+   It was really exciting on working on problem of this magnitude and impact. We managed to come up with a very promising solution that leverages GenAL and Large Language Models
+