Own
Own Projects
Below are the sample Project on AWS Cloud and Machine Learning and C Language
Build an Application for Farmers this app which can Connect Farmer to Company for Selling Agricultural products
Description :
KisanCo is an innovative platform designed to empower farmers by facilitating direct connections with agricultural companies for selling their produce. Leveraging the power of artificial intelligence (AI), KisanCo streamlines the process of product listing, negotiation, and transaction, enabling farmers to achieve fair prices for their agricultural products while providing companies access to high-quality produce.
According to prototype ,
Product Listing and Management: Farmers can easily list their agricultural products on the platform, providing details such as crop type, quantity, quality, and expected price.
Real-time Negotiation: The platform facilitates real-time negotiation between farmers and companies, allowing for fair price agreements and transparent communication.
Transaction Facilitation: Once a deal is reached, KisanCo assists in facilitating the transaction process, including payment processing and logistics coordination.
Skills Required : AI knowledge
I create a self-hosted cloud to replace Dropbox and Google Drive, FileCloud is recommended for its security, remote access to files, data control, and enterprise-level data governance features. The demonstration begins with
launching a FileCloud instance on AWS, emphasizing the selection of T2 medium instance type for improved performance and the application of a license file for full authorization. using Amazon S3 for cost-effective storage,
noting its various storage tiers and cost advantages compared to increasing volume size on AWS. Instructions for configuring AWS S3 storage for FileCloud are detailed, including creating an IAM user with S3 access keys
and modifying the cloud config.php file to change the storage location to Amazon S3 for seamless integration.
Infrastructure as a code or Terraform
Skill Required : AWS S3 , Terraform
Serverless Project Plannining
1. Project Plannining : The goal of a serverless web application on AWS is to provide a scalable, cost-effective, and efficient solution for hosting and running web applications without the need to manage server infrastructure and for this project initialy I was ready for AWS IAM , AWS Lambda, Amazon API Gateway,Amazon DynamoDB , Amazon S3 , AWS CloudFormation , AWS CloudWatch.
2.. Architecture Design: Design the overall architecture of your serverless application.
Determine which AWS services will be used for different components of the application.
Consider factors like scalability, security, and performance.
3. Environment Setup: Environement Setup means Setup an AWS Account and next Configure IAM (Identity and Access Management) roles with appropriate permissions.
and I Install any necessary development tools and SDKs.
4. Backend Development:
Design and implement the backend logic of your application using serverless functions.
Write serverless functions using AWS Lambda, which will serve as the backend code for handling requests and business logic.
Set up API endpoints using Amazon API Gateway to trigger Lambda functions.
6. Data Management: Set up and configure databases services like Amazon DynamoDB and Amazon S3
7. Authentication and Authorization:
Implement user authentication and authorization mechanisms to secure your application.
Use AWS Cognito or other authentication services to manage user identities and access control.
8.Monitoring and Maintainance : Use AWS CloudWatch or other monitoring services to monitor metrics, set up alarms, and troubleshoot issues.
Infrastructure as a code or Terraform
Skill Required : AWS S3 , Terraform
Successfully Completed Advanced Brute Force Attack in Kali linux
In github account also contain cmd of some kali tools eg. wifi hack , bluetooth auth , wifi deauth , john-the-ripper , etc.
Skill Required : Kali linux
The Bollywood Movie Recommendation System is an intelligent application designed to provide personalized movie recommendations to users based on their preferences and viewing history. Leveraging the power of data analysis and machine learning techniques, this system analyzes user interactions with Bollywood movies to generate accurate and relevant recommendations, enhancing the user's movie-watching experience.
Skill Required : Python-NumPy, Pandas
Building your own private AI on the command line interface (CLI) using Hugging Face Transformers can be a fascinating project. In this project, we'll create a simple chatbot that responds to user queries and engages in conversations. We'll use the chatbot pipeline from the Hugging Face Transformers library.
Skill Required : Basics of LLM