AI Intern

About OneRoot OneRoot is an **Agri-Tech and agricultural supply-chain company** building a transparent and traceable farm-to-business ecosystem. We work across farmer engagement, agricultural sourcing, farm operations, contract farming, quality management, and technology-driven agricultural solutions. We are looking for an enthusiastic **AI/ML Intern** who is passionate about applying Artificial Intelligence and Computer Vision to solve real-world problems in agriculture. Role Overview As an **AI/ML Intern**, you will work on practical AI solutions involving **Computer Vision, Image Detection, OCR, Object Detection, and Machine Learning** for agricultural applications. You will work with real-world images and field data to develop systems that can help identify crops, detect agricultural products, analyze images, extract information, and support quality assessment and farm-level decision-making. Key Responsibilities * Develop, train, test, and optimize **Machine Learning and Deep Learning models**. * Build **Computer Vision** solutions for agricultural images and videos. * Develop **object detection and image classification models** using **YOLO** and other suitable frameworks. * Work on **crop, leaf, fruit, seed, grain, and agricultural product image detection**. * Develop image-based solutions for identifying **crop conditions, diseases, defects, and quality parameters**. * Implement and improve **OCR systems** for extracting information from images, documents, labels, invoices, and agricultural records. * Perform **image preprocessing, augmentation, annotation, and dataset preparation**. * Collect, clean, label, and analyze image and structured/unstructured datasets. * Train and fine-tune deep learning models using frameworks such as **PyTorch or TensorFlow**. * Evaluate model performance using appropriate metrics such as **precision, recall, F1-score, mAP, and IoU**. * Experiment with different Computer Vision architectures and techniques to improve model accuracy. * Work with real-world agricultural datasets and handle challenges such as **different lighting conditions, backgrounds, image quality, camera angles, and field environments**. * Collaborate with the technology and agricultural teams to convert real-world agricultural problems into AI-based solutions. * Document experiments, model performance, findings, and improvements. Required Technical SkillsComputer Vision * Strong understanding of **Computer Vision fundamentals**. * Image processing and image analysis. * Image classification and image segmentation. * **Object detection and image recognition**. * Experience working with real-world image datasets. YOLO & Object Detection * Practical knowledge of **YOLO** models. * Understanding of **YOLOv5 / YOLOv8 / YOLO11** or similar object detection architectures. * Experience with **bounding-box annotation and dataset preparation**. * Knowledge of **IoU, mAP, precision, recall, and F1-score**. * Experience training or fine-tuning object detection models is preferred. OCR * Understanding of **Optical Character Recognition (OCR)**. * Familiarity with **Tesseract OCR, EasyOCR, PaddleOCR**, or similar technologies. * Image preprocessing techniques for improving OCR accuracy. * Ability to extract and structure information from images and scanned documents. Programming & ML * Strong **Python** programming skills. * Knowledge of **NumPy, Pandas, OpenCV, and Matplotlib**. * Familiarity with **PyTorch or TensorFlow**. * Understanding of Machine Learning and Deep Learning concepts. * Basic knowledge of **CNNs, transfer learning, and model fine-tuning**. * Familiarity with **Git/GitHub** is preferred. Agriculture + AI Applications The intern may work on projects such as: * **Crop and plant image detection** * **Leaf and crop disease detection** * **Chilli and turmeric image analysis** * **Grain and agricultural commodity detection** * **Quality and defect detection** * **Agricultural product classification** * **Field image analysis** * **OCR for agricultural documents and records** * **Computer Vision for farm monitoring** * **AI-based agricultural data analysis and decision-support systems** Who Can Apply? Students pursuing **B.Tech / B.E. / M.Tech / MCA / BCA / B.Sc / M.Sc** in: Artificial Intelligence Machine Learning Computer Science Data Science Information Technology Electronics / related fields Students with relevant **AI/ML, Computer Vision, or OCR projects** are highly preferred. Freshers and final-year students with strong technical skills are encouraged to apply. Preferred Candidate Profile We are looking for someone who: * Is genuinely interested in **AI/ML and Computer Vision**. * Has hands-on experience with **YOLO or object detection**. * Has worked on at least one **Computer Vision/OCR project**. * Can independently research, experiment, debug, and improve models. * Is comfortable working with large image datasets. * Has strong problem-solving and analytical skills. * Is excited about applying AI to **real-world agriculture and supply-chain problems**. What You Will Gain * Hands-on experience working with **real-world agricultural datasets**. * Practical exposure to **Computer Vision, YOLO, OCR, and Deep Learning**. * Opportunity to build AI solutions for real agricultural use cases. * Experience with **model training, evaluation, optimization, and deployment**. * Opportunity to work closely with both **technology and agriculture teams**. * Potential opportunity for **full-time employment based on internship performance**. Pay: ₹10,000.00 - ₹15,000.00 per month Benefits: * Flexible schedule * Provident Fund Work Location: In person