Ecommerce App
Description
This project focuses on the development of a hybrid e-commerce platform, which includes both a mobile application and a web application. The platform is designed to provide users with efficient tools to manage purchases, sales and personal data, as well as security options and usage preferences.
Features
- User Authentication: Secure login and registration functionality.
- Shopping Cart: Add, remove, and update products in a shopping cart.
- Wishlist: Save products to a wishlist for future purchase.
- Search and Filtering: Advanced search and filtering options to find products easily.
- Responsive Design: Optimized for mobile and desktop viewing.
- User account management for buyers and sellers
- Purchase and sales history
Technologies
- Frontend: Android Studio with Kotlin
- Version Control: GitHub
- Design: Figma
Fellow AI - HeadStarter
Description
The HeadStarter AI Fellowship is a 7-week, remote and asynchronous program aimed at college students and graduates who want to enhance their software engineering skills, build practical projects, and gain industry exposure. The fellowship includes:
- Building 5 AI projects.
- Completing a final project with a goal of acquiring 1,000+ users.
- Improving my personal branding
Features
- Hands-On Projects: Build five different AI projects.
- Hackathons: Participate in virtual hackathons every other weekend.
- Final Project: Aim for significant user acquisition or revenue generation.
- Coaching and Feedback: Weekly AI coaching calls and resume reviews.
- Networking Opportunities: Engage with real software engineers and participate in meetups.
- Team Collaboration: Promote collaboration and peer learning from Week 3.
Technologies
- Career Readiness: The fellowship aims to bridge the gap between academic learning and industry requirements, making fellows job-ready.
- Skill Development: Fellows enhance their coding skills, gain project management experience, and receive valuable feedback from industry professionals.
More Information
For more details about the HeadStarter AI Fellowship and to explore other opportunities, please visit the following pages:
EcoVentus: AI-Driven UAV Monitoring Platform
Description
EcoVentus is an advanced AI-powered platform designed to optimize UAV (Unmanned Aerial Vehicle) operations for industries like environmental monitoring, renewable energy, and agriculture. By combining real-time data collection, route planning, and analytics, EcoVentus enables precise, efficient, and sustainable solutions for monitoring and managing key resources. The platform integrates a web-based interface to control and visualize UAV missions, leveraging artificial intelligence to detect patterns, analyze data, and support informed decision-making.
Features
- Real-Time Monitoring: Visualize UAV flight paths and data collection in real-time.
- Customizable Drone Configuration: Adjust parameters such as altitude, speed, and mission priority.
- AI-Driven Insights: Automatically detect and analyze patterns in collected data.
- Interactive Dashboard: View mission priority scores and flight times,Download Waypoint (WP) files for custom UAV configurations, Visualize routes on a detailed map.
- Scalable Use Cases: Renewable energy: Inspect solar panels and wind turbines for efficiency and damage detection, Agriculture: Monitor crop health and optimize land use, Environmental assessment: Track deforestation, wildlife habitats, and urban development impact.
Technologies Used
- Frontend: Next.js, React.js,CSS3, JavaScrip, Leaflet.js, React Router, Google Fonts
- Backend: Flask, Node.js, Python
- Database: MongoDB
- Cloud: Huawei Cloud
View on GitHub
Check out the complete project code and documentation on GitHub.