Ansh.ai

📚 About the Project

Journaling has always been a powerful tool for self-reflection, but we wanted to make it more natural, conversational, and accessible — like talking to a trusted friend. This inspired us to create Ansh.ai, a real-time agentic AI friend that listens to your thoughts, understands your emotions, and helps you process your day through meaningful conversation.

The name Ansh stands for Artificial Narrator for Self-reflection and Harmony, but in Sanskrit, it also means “a part of you.” This dual meaning captures our goal — building an AI that feels personal, empathetic, and truly connected to the user’s inner world.

Ansh.ai acts as a real-time conversational diary companion.

• You speak, Ansh listens.
• It reflects on your day with you, asking gentle questions and providing insights.
• It remembers past conversations, helping you connect patterns over time.
• Responses are presented not just as text, but through a talking AI avatar that feels more human and approachable.

Whether you’re venting after a long day, celebrating small wins, or reflecting on personal growth, Ansh is always there to listen and respond with thoughtful reflections.

💻 Tech Stack

Tech	Usage
Python	Backend logic & APIs
Flask	Web server
React	Frontend UI
ChromaDB	Vector Database
Langchain	LLM integration
AMD Minisforum AI 370	Hybrid NPU+GPU Compute

⚙️ Installation

Clone the repo:

git clone https://github.com/sakshamk6999/HackCU11.git
cd HackCU11

Install backend dependencies

pip install -r backend/latest_requirements.txt

Install frontend dependencies

cd frontend
npm install

Run the project (backend):

python app.py &
python server.py

Run project (frontend):

cd frontend
npm run dev

Video - https://youtu.be/1wwqeeN3aRM

🧑‍💻 Team Members

• Saksham Khatwani
• Rahul Shetty
• Siddharth De
• Gyanig Kumar
• Uditanshu Tomar

npu fix

If you are facing issues when running the backend app, try the following:

pip install -r small_requirements.txt --force-reinstall

❤️ Acknowledgments

Special thanks to the HackCU team for organizing this amazing hackathon!

Shoutout to Naveen from AMD for helping us work and develop with the AMD Miniforum AI 370.