Acebot

AceBot – AI-Powered Interview Coach | Practice real-world interviews with AI-driven questions and feedback. Built with LangChain, Ollama, and Streamlit for smarter, adaptive prep.

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Inspiration

Interviews can be unpredictable, and candidates often struggle with nerves, uncertainty, and a lack of preparation. We wanted to create a smart, AI-driven solution that allows users to practice in a realistic, pressure-free environment. AceBot was built to simulate real interviews, generate dynamic questions, and provide insightful feedback—all within an intuitive, easy-to-use interface.

What it does

AceBot is an AI-powered interview coach that helps candidates prepare for both technical and non-technical roles. Here’s what it offers: ✔️ AI-Generated Questions – Generates tailored interview questions based on role and difficulty. ✔️ Real-Time Adaptation – Adjusts questions based on user responses, mimicking a real interviewer. ✔️ Multi-LLM Support – Uses LLaMA 3.1, Gemma 2, and Phi 3 for varied response styles. ✔️ Seamless User Experience – Built with Streamlit for an interactive, smooth interface.

How we built it

AceBot was developed using: 🔹 LangChain – For LLM-based question generation and response processing. 🔹 Ollama – To integrate multiple LLMs for dynamic conversation flows. 🔹 Streamlit – For a clean, interactive, real-time UI. 🔹 Python – To handle backend logic and AI processing.

Challenges we ran into

Ensuring diverse and relevant question generation across different domains. Fine-tuning LLM outputs to provide meaningful, structured feedback. Designing an intuitive UI that makes interview practice seamless and engaging.

Accomplishments that we're proud of

Successfully created a fully AI-driven interview simulation that adapts dynamically. Integrated multiple LLMs to provide diverse questioning strategies. Built a smooth, real-time interface with Streamlit for an optimal user experience.

What we learned

Effective LLM integration for structured question-answer flows. Balancing AI adaptability and realism in an interview setting. Optimizing AI-generated responses for better clarity and engagement.

What's next for Acebot

Expanding question categories to cover more specialized domains. ✔️ Enhancing response analysis with deeper AI-driven feedback. ✔️ Introducing voice-based interactions for a more immersive experience.

Built With

  • ai-models:-ollama
  • api
  • gemma-2
  • llama-3.1
  • llm
  • phi-3-frameworks-&-tools:-langchain
  • streamlit-backend-&-logic:-python
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