LOVnEo

AI Projects

Here are some of the AI solutions we have developed.

RAG Model

Full details of the project.

Introducing our advanced Retrieval-Augmented Generation (RAG) model, designed to enhance AI-driven solutions by combining retrieval-based and generative approaches. Here's what makes it unique:

Key Features:

  • Knowledge Retrieval: Seamlessly integrates external knowledge sources for accurate and context-aware responses.
  • Generative Capabilities: Produces coherent and contextually relevant outputs using state-of-the-art language models.
  • Customizability: Tailored to specific domains for improved performance and user satisfaction.

Our RAG model is a game-changer in AI applications, offering unparalleled efficiency and accuracy. Explore its potential to revolutionize your workflows!

Technologies Used:

  • Python
  • Flask
  • Docker
  • Gemini AI
  • FAISS

Website Link..

Spentsor

Full details of the project.

Introducing Spentsor, an innovative application designed to help people track their daily expenses. With a user-friendly interface and a variety of features, Spentsor makes managing your finances easier than ever. initial idea credits goes to VARMA , what makes it unique:

Key Features:

  • Daily and Monthly Tracker: Keep track of your expenses on a daily and monthly basis with detailed insights.
  • Expense Categories: Categorize your spending to see where your money goes.
  • Notifications: Get reminders and alerts to stay on top of your budget.
  • User-Friendly Interface: Enjoy a seamless experience with an intuitive design.

Spentsor is a game-changer in personal finance management, offering unparalleled efficiency and accuracy. Explore its potential to revolutionize your financial habits!

Technologies Used:

  • FlutterFlow
  • Firebase
  • Google Cloud

playstore Link..

Traffic Analysis Vehicle Counting System

Full details of the project.

We developed a Traffic Analysis Vehicle Counting System for an organization to monitor vehicle entry and exit counts. This system helps them adjust manpower and manage parking space efficiently based on real-time data.

Key Features:

  • Real-Time Vehicle Counting: Tracks vehicle entries and exits accurately.
  • Manpower Adjustment: Provides insights to optimize workforce allocation.
  • Parking Space Management: Helps in efficient utilization of parking spaces.

Technologies Used:

  • Python
  • YOLOv11
  • Docker
  • Labeling Images

Website Link..

Up coming projects

Short description of the project.

Full details of the project.

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