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Internship Assignment: AI/ML-Based Image Search Feature

Position: Engineering Intern (AI/ML)
Duration: 7 Days
Submission: GitHub

Objective

Develop an AI/ML-powered image search feature that allows users to upload an image and retrieve visually similar images from a dataset. The solution should leverage machine learning models for feature extraction and similarity matching.

Key Tasks

  1. Dataset Acquisition

    • Download a suitable image dataset from Kaggle (e.g., Fashion-MNIST, CIFAR-10, or any relevant dataset).
    • Preprocess the dataset (resize, normalize, augment if needed).

  2. Feature Extraction with AI/ML

    • Use a pre-trained CNN model (e.g., ResNet, VGG, or MobileNet) to extract image embeddings.
    • Implement a feature vector database (can use FAISS, Annoy, or Scikit-learn’s Nearest Neighbors for efficient search).

  3. Similarity Search Implementation

    • Build a function that takes an input image and returns the top N most similar images from the dataset.
    • Use cosine similarity or Euclidean distance for matching.

  4. User Interface (Optional but Recommended)

    • Develop a simple Flask/FastAPI backend to upload images and display results.
    • (Bonus) Create a basic Streamlit/React frontend for interaction.

  5. Optimization & Evaluation

    • Measure search accuracy (e.g., Precision@K).
    • Optimize for speed (reduce search latency).

Deliverables (Submit via GitHub)

✅ GitHub Repository with:

  • Well-documented code (README.md with setup instructions).
  • Jupyter Notebook / Python script for model training & testing.
  • Backend API code (if applicable).
  • Sample test images & output examples.

Tech Stack Suggestions

  • Languages: Python
  • Libraries: TensorFlow/PyTorch, OpenCV, Scikit-learn, FAISS/Annoy
  • Backend (Optional): Flask/FastAPI
  • Version Control: Git/GitHub

Evaluation Criteria

✔ Functionality (Does the search work accurately?)
✔ Code Quality (Clean, modular, well-documented)
✔ Performance (Speed vs. accuracy trade-offs)
✔ Innovation (Any extra features like filters, UI improvements)

Submission Deadline: A week from Today.

Note

Feel free to use any libraries or frameworks you find suitable for the image processing and recognition and UI development. The goal is to create a functional and well-documented application that meets the specified requirements.

Good Luck! 🚀 Let’s build something awesome!

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