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Lalwaniamisha789/README.md

πŸ‘‹ Hi, I'm Amisha Lalwani (@Lalwaniamisha789)

πŸš€ AI Engineer in the making


⚑ About Me

  • πŸ”₯ Passionate about building AI agents & automations β€” not just research, but production-ready pipelines.
  • πŸ› οΈ Experienced with LLMs, CV pipelines, RAG, and workflow automation (LangChain, n8n, APIs).
  • πŸ† Hackathon winner (1st Place HackIIITV, CodeHers; Top 5 nationwide WWT Women Hackathon; Top 100 in Indradhanu: InternationalGrandChallenge).

πŸ› οΈ Tech Arsenal

  • Languages: Python, Java, C
  • AI / ML: PyTorch, Transformers (Mistral, FLAN-T5, Gemini), YOLOv5, EasyOCR, ResNet, Siamese Nets
  • Automation & Agents: LangChain, n8n, REST APIs
  • Databases: MySQL, MongoDB, FAISS / Pinecone (Vector DBs, RAG)
  • Other Tools: Git, Docker, Postman

πŸš€ Highlight Projects

  • πŸ‘— Fashion Compatibility Recommender – AI system suggesting compatible outfits with 98% Precision@K using ResNet50 embeddings + Siamese β€œPolaniaNet.”
  • 🌍 Sankalp-Setu (Multilingual AI Mentor) – Gemini-powered, multilingual voice-enabled mentor + NGO matcher that cuts NGO discovery from hours to seconds.
  • 🧾 OCR Automation (YOLOv5 + EasyOCR) – Automated nutrition label extraction pipeline with 95% accuracy, replacing 10+ hours of manual entry.
  • πŸ“ˆ RL for Ad Ranking – Improved CTR by +12% vs baseline on 500+ ad impressions.

πŸ‘‰ Check pinned repos for code & demos.


🌐 Connect with Me


πŸ’‘ β€œShip > perfect. Automate > manual. Build > talk.”

Pinned Loading

  1. Fashion__Compatibility_Recommender Fashion__Compatibility_Recommender Public

    Uses ml models to find similar fashion items based on images, also gives top 5 compatible items based on user input images.

    Jupyter Notebook 2

  2. Sankalp-Setu Sankalp-Setu Public

    Sankalp Setu – A multilingual AI assistant with a ChatGPT-powered mentor and a semantic NGO matcher using MiniLM & cosine similarity. Built with Django, supports 90+ languages via dynamic translation.

    HTML

  3. Apple-Knowledge-Assistant Apple-Knowledge-Assistant Public

    Apple Product Q&A Assistant uses RAG and an agent-based approach with TinyLlama to answer user queries about Apple products. It retrieves relevant context from documents and uses TinyLlama for effi…

    Python

  4. Implementation-of-Neural-LDPC-Decoders-with-Degree-Specific-Weight-Sharing-and-RCQ-Quantization Implementation-of-Neural-LDPC-Decoders-with-Degree-Specific-Weight-Sharing-and-RCQ-Quantization Public

    This paper implements neural LDPC decoders based on Wang et al., including N-NMS, N-2D-NMS, RCQ, and W-RCQ variants. It mitigates gradient explosion via posterior joint training and offers full sim…

    Python 1

  5. Spam-SMS-Detection Spam-SMS-Detection Public

    A Flask-based web app that classifies SMS messages as Spam or Ham(Not Spam) using a Logistic Regression model.

    Jupyter Notebook

  6. Vehicle-Detection Vehicle-Detection Public

    The "Vehicle Detection" utilizes YOLO (You Only Look Once) for detecting real-time vehicle to dynamically control traffic signals based on current traffic density, optimizing traffic flow and reduc…

    Python